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Wang, Y., Liu, X., & Tang, Z. (2016, January). An R-CNN Based Method to Localize Speech Balloons in Comics. In MultiMedia Modeling (pp. 444-453). Springer International Publishing. |
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2 |
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Choi, J. H., Lee, M., Kang, K., & Kim, J. O. Adaptive Color Saturation Control for Low Power RGBW OLED Displays. |
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3 |
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García Moreno, L. M., & Barandica Zemanate, E. (2016). " Implementación de realidad aumentada en planos topográficos como componente interactivo de los entornos geográficos virtuales"[recurso electrónico] (Doctoral dissertation). |
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4 |
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Luo, D., Sun, M., & Huang, J. (2016). Audio Post-processing Detection Based on Amplitude Co-occurrence Vector Feature. |
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5 |
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Harinath, D., Babu, K. R., Satyanarayana, P., & Murthy, M. R. (2016). Defect Detection in Fabric using Wavelet Transform and Genetic Algorithm. Transactions on Machine Learning and Artificial Intelligence, 3(6), 10. |
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6 |
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Roy, A., Schaffer, J. D., & Laramee, C. B. (2016). A novel approach to signal classification with an application to identifying the alcoholic brain. Applied Soft Computing, 43, 406-414. |
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7 |
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Zhang, F., Wang, X., & Sun, K. (2016). A Report on Multilinear PCA Plus GTDA to Deal With Face Image. Cybernetics and Information Technologies, 16(1), 146-157. |
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8 |
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Liu, C. (2016). Digits Recognition on Medical Device (Doctoral dissertation, The University of Western Ontario). |
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9 |
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Shi, J., Yan, Q., Xu, L., & Jia, J. Hierarchical Image Saliency Detection on Extended CSSD. |
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10 |
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Panchal, T., Patel, H., & Panchal, A. (2016). License Plate Detection Using Harris Corner and Character Segmentation by Integrated Approach from an Image. Procedia Computer Science, 79, 419-425. |
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11 |
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Kekre, H. B., Sarode, T., & Halarnkar, P. N. (2016). Partial Image Scrambling Using Walsh Sequency in Sinusoidal Wavelet Transform Domain. In Intelligent Systems Technologies and Applications (pp. 471-484). Springer International Publishing. |
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12 |
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Savitha, S. K., & Naveen, N. C. Study for Assessing the Advancement of Imaging Techniques in Chest Radiographic Images. |
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13 |
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Niri, E. D., & Singh, T. (2016). Unscented Transformation based estimation of parameters of nonlinear models using heteroscedastic data. Pattern Recognition, 55, 160-171. |
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14 |
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Phadikar, A., Kumar, N., Phadikar, B. S., & Maity, G. K. (2016). Video summarisation using optimum global threshold technique based on genetic algorithm. International Journal of Innovative Computing and Applications, 7(1), 1-12. |
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15 |
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Thamizharasi, A., & Jayasudha, J. S. (2016). An Illumination Invariant Face Recognition by Selection of DCT Coefficients. International Journal of Image Processing (IJIP), 10(1), 14. |
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16 |
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Klingensmith, M., Herrmann, M., & Srinivasa, S. S. (2016). Object Modeling and Recognition from Sparse, Noisy Data via Voxel Depth Carving. In Experimental Robotics (pp. 697-713). Springer International Publishing. |
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17 |
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Shaukat, A., Gao, Y., Kuo, J. A., Bowen, B. A., & Mort, P. E. (2016). Visual classification of waste material for nuclear decommissioning. Robotics and Autonomous Systems, 75, 365-378. |
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18 |
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Jain, M., & Singh, D. (2016). A Survey on CBIR on the Basis of Different Feature Descriptor. British Journal of Mathematics & Computer Science, 14(6), 1. |
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19 |
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Serdouk, Y., Nemmour, H., & Chibani, Y. (2016). New Off-line Handwritten Signature Verification Method based on Artificial Immune Recognition System. Expert Systems with Applications. |
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20 |
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Vadali, S., Deekshitulu, G. S., & Murthy, J. V. R. (2016). Optimization of Hyperspectral Images and Performance Evaluation Using Effective Loss Algorithm. In Proceedings of Fifth International Conference on Soft Computing for Problem Solving (pp. 919-927). Springer Singapore. |
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21 |
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Babu, K. S., Thyagharajan, K. K., & Ramachandran, V. (2016). Compression of Hyper-Spectral Images and Its Performance Evaluation. In Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA) 2015 (pp. 599-609). Springer India. |
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22 |
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Vinay, S. K. (2016). Bins Approach To Content Based Image Retrieval. |
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23 |
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Akar, A., Gökalp, E., Akar, Ö., & Yilmaz, V. (2016). Improving classification accuracy of spectrally similar land covers in the rangeland and plateau areas with a combination of WorldView-2 and UAV images. Geocarto International, (just-accepted), 1-26.Yadav, S., Rizvi, I., & Kadam, S. Comparative study of object based image analysis on high resolution s |
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24 |
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Alqahtani, K. M. (2016). A Graphical Processing Unit Based on Real Time System (Doctoral dissertation). |
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25 |
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Naveen, S., & Moni, R. S. (2016). Contourlet and Fourier Transform Features Based 3D Face Recognition System. In Intelligent Systems Technologies and Applications (pp. 411-425). Springer International Publishing. |
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26 |
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Kedar, S., Bormane, D. S., & Nair, V. (2016). Heart Disease Prediction Using k-Nearest Neighbor Classifier Based on Handwritten Text. In Computational Intelligence in Data Mining—Volume 1 (pp. 49-56). Springer India. |
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27 |
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Saaidia, M., Zermi, N., & Ramdani, M. (2016). Multiple Image Characterization Techniques for Enhanced Facial Expression Recognition. In Intelligent Systems Technologies and Applications (pp. 497-509). Springer International Publishing. |
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28 |
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Perveen, N., Ahmad, N., Khan, M. A. Q. B., Khalid, R., & Qadri, S. Facial Expression Recognition Through Machine Learning. |
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29 |
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Mohammed, S. N., George, L. E., & Dawood, H. A. The Effect of Classification Methods on Facial Emotion Recognition Accuracy. |
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30 |
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Satyawana, S. (2016). Novel Technique for Video Segmentation and Image Matching. Science, Engineering and Technology, 59. |
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31 |
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Zhang, Y. Y., Wang, Z. P., & Lv, X. D. (2016). Saliency Detection via Sparse Reconstruction Errors of Covariance Descriptors on Riemannian Manifolds. Circuits, Systems, and Signal Processing, 1-18. |
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32 |
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Wu, X., Du, M., Chen, W., & Wang, J. (2016). Salient object detection via region contrast and graph regularization. Science China Information Sciences, 1-14. |
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33 |
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Sun, X., Su, A., Chen, S., Yu, Q., & Liu, X. (2016). Objectness to assist salient object detection. IET Image Processing, 10(5), 391-397. |
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34 |
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Raj, E. M. S., & Kumaresan, M. (2016). Boundary Detection Algorithm For Brain Tumor Position And Area Detection Using OPENCV. International Journal of Applied Engineering Research, 11(7), 5326-5331. |
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35 |
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Sampurno, J., Faryuni, I. D., & Ivansyah, O. (2016, March). Automated analysis of image mammogram for breast cancer diagnosis. In THE 4TH INTERNATIONAL CONFERENCE ON THEORETICAL AND APPLIED PHYSICS (ICTAP) 2014 (Vol. 1719, p. 030036). AIP Publishing. |
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36 |
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Santhosh, B., & Viswanath, K. (2016). Review on Secured Medical Image Processing. In Information Systems Design and Intelligent Applications (pp. 531-537). Springer India. |
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37 |
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Tiwari, L. K., Sinha, S. K., Saran, S., Tolpekin, V. A., & Raju, P. L. (2016). Forest encroachment mapping in Baratang Island, India, using maximum likelihood and support vector machine classifiers. Journal of Applied Remote Sensing, 10(1), 016016-016016. |
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38 |
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Taniguchi, Y., Mizushima, M., Hasegawa, G., Nakano, H., & Matsuoka, M. (2016). Counting Pedestrians Passing Through a Line in Crowded Scenes by Extracting Optical Flows. International Information Institute (Tokyo). Information, 19(1), 303. |
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39 |
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Enireddy, V., PhaniKumar, D. V. V. S., & Kishore, G. Application of Fisher Score and mRMR Techniques for Feature Selection in Compressed Medical Images. |
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40 |
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Jain, M., & Lenka, S. K. (2016). A Review of Digital Image Steganography using LSB and LSB Array. International Journal of Applied Engineering Research, 11(3), 1820-1824. |
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41 |
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Brahmbhatt, K. N., & Makwana, R. M. (2016). Implementation and Comparative Study of Image Fusion Methods in Frequency Domain. In Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics (pp. 271-278). Springer India. |
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42 |
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Verma, S., Wakode, J. S., & Kannurkar, P. S. Two Level Two Dimensional Wavelet Transform Based QR Code Watermarking Algorithm. |
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43 |
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Norhikmah, N., Safitri, A. R., & Sholikhan, L. A. (2016). Penggunaan qr code dalam presensi berbasis android. semnasteknomedia online, 4(1), 4-7. |
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44 |
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Palumbo, F., Gallicchio, C., Pucci, R., & Micheli, A. (2016). Human activity recognition using multisensor data fusion based on Reservoir Computing. Journal of Ambient Intelligence and Smart Environments, 8(2), 87-107. |
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45 |
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Vinay, S. K. (2016). Bins Approach To Content Based Image Retrieval. |
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46 |
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Singh, A. K. (2016). Some New Techniques of Improved Wavelet Domain Watermarking ofr Medical Images. |
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47 |
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Pandey, R., Singh, A. K., Kumar, B., & Mohan, A. (2016). Iris based secure NROI multiple eye image watermarking for teleophthalmology. Multimedia Tools and Applications, 1-17. |
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48 |
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Xie, C., Huang, X., Zeng, W., & Fang, X. (2016). A novel water index for urban high-resolution eight-band WorldView-2 imagery. International Journal of Digital Earth, 1-17. |
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49 |
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Salas, E. A. L., Boykin, K. G., & Valdez, R. (2016). Multispectral and Texture Feature Application in Image-Object Analysis of Summer Vegetation in Eastern Tajikistan Pamirs. Remote Sensing, 8(1), 78. |
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50 |
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Baan, F., Liebregts, J., Xi, T., Schreurs, R., de Koning, M., Bergé, S., & Maal, T. (2016). A New 3D Tool for Assessing the Accuracy of Bimaxillary Surgery: The OrthoGnathicAnalyser. PloS one, 11(2), e0149625. |
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51 |
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Sarode, T., Pillai, D., Pokale, S., & Prabhu, T. (2016). Image Encryption in Transform Domain using Circular Shift. International Journal of Computer Applications, 140(11). |
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52 |
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Sarode, T., Pillai, D., Pokale, S., & Prabhu, T. (2016). Image Encryption in Transform Domain using Circular Shift. International Journal of Computer Applications, 140(11). |
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53 |
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Bhong, V. S., & Pawar, B. V. Study and Analysis of Cotton Leaf Disease Detection Using Image Processing. |
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54 |
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López-Serrano, P. M., Corral-Rivas, J. J., Díaz-Varela, R. A., Álvarez-González, J. G., & López-Sánchez, C. A. (2016). Evaluation of Radiometric and Atmospheric Correction Algorithms for Aboveground Forest Biomass Estimation Using Landsat 5 TM Data. Remote Sensing, 8(5), 369. |
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55 |
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What carpet, M, happy, R., & Frydhsyny. (2016, February). The use of lidar technology to create a digital terrain model. In the First International Conference Third national conference on architecture, urban restoration and sustainable environment. |
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56 |
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Hettiarachchi, R., & Peters, J. F. (2016). Voronoi Region-Based Adaptive Unsupervised Color Image Segmentation. arXiv preprint arXiv:1604.00533. |
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57 |
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Suqi, A., & Lim, T. W. (2016). Detection and Identification of Objects Using Point Cloud Data for Pose Estimation. In AIAA Guidance, Navigation, and Control Conference (p. 2095). |
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58 |
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Nalini, M. P., & Malleswari, B. L. Review on Content Based Image Retrieval: From Its Origin to the New Age. |
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59 |
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YAO Court, in Yan & East (2016). Image retrieval method based on features of interest points. Jilin University (Science Edition), 54 (02), 323-328. |
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60 |
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Naveen, A., & Velmurugan, T. A Survey on Medical Images Extraction using Parallel Algorithm in Data Mining. |
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61 |
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Mane, V. M., Jadhav, D. V., & Kawadiwale, R. B. (2015). Preprocessing in Early Stage Detection of Diabetic Retinopathy Using Fundus Images. In Advancements of Medical Electronics (pp. 27-38). Springer India. |
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62 |
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Rajesh, V., Venkat, B., Karan, V., & Poonkodi, M. (2015). Brain Tumor Segmentation and its Area Calculation in Brain MR Images using K-Mean Clustering and Fuzzy C-Mean Algorithm. Fuzzy Systems, 7(4), 103-107. |
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63 |
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Naik, P. P. S., & Gopal, T. V. (2015). Quantitative Analysis and Segmentation of Metastasis Brain Images using Hybrid Mean Shift Clustering. Indian Journal of Science and Technology, 8(35). |
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64 |
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Roy, S., Ganguly, D., Chatterjee, K., & Bandyopadhyay, S. K. (2015). Computerized White Matter and Gray Matter Extraction from MRI of Brain Image. Journal of Biomedical Science and Engineering, 8(09), 582. |
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65 |
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Kim, J., Jang, G., Kim, G., & Kim, M. H. (2015). Crowd Activity Recognition using Optical Flow Orientation Distribution. KSII Transactions on Internet and Information Systems (TIIS), 9(8), 2948-2963. |
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66 |
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Yoshida, T., & Taniguchi, Y. Estimating the number of people using existing WiFi access point in indoor environment. |
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67 |
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Li, J., Zhang, L., Guo, D., Zhuo, S., & Sim, T. (2015, May). Audio-visual twins database. In Biometrics (ICB), 2015 International Conference on (pp. 493-500). IEEE. |
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68 |
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Emam, M. M., Aly, A. A., & Omara, F. A. (2015). A Modified Image Steganography Method based on LSB Technique. International Journal of Computer Applications, 125(5). |
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69 |
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Sazzad, T. M., Armstrong, L. J., & Tripathy, A. K. (2015, November). An Automated Detection Process to Detect Ovarian Tissues Using Type P63 Digitized Color Images. In Tools with Artificial Intelligence (ICTAI), 2015 IEEE 27th International Conference on (pp. 278-285). IEEE. |
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70 |
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Jabarullah, B. M., & Babu, C. N. K. (2015). BPNN-hippoamy Algorithm for Statistical Features Classification. Indian Journal of Science and Technology, 8(14). |
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71 |
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Amankwah, A., & Aldrich, C. (2015, July). Motion estimation in flotation froth using the Kalman filter. In Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International (pp. 1897-1900). IEEE. |
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72 |
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Mednis, M., Vilums, S., & Stalidzans, E. (2015). TraSe: Real-time two-dimensional ball tracking and control system. International Journal of Electrical Engineering Education, 0020720915611141. |
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73 |
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Zhao, Z., & Li, B. (2015, October). Dynamically optimizing face recognition using PCA. In Control, Automation and Information Sciences (ICCAIS), 2015 International Conference on (pp. 123-127). IEEE. |
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74 |
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Jovancevic, I., Orteu, J. J., Sentenac, T., & Gilblas, R. (2015, April). Automated visual inspection of an airplane exterior. In The International Conference on Quality Control by Artificial Vision 2015 (pp. 95340Y-95340Y). International Society for Optics and Photonics. |
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75 |
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Jovancevic, I., Larnier, S., Orteu, J. J., & Sentenac, T. (2015). Automated exterior inspection of an aircraft with a pan-tilt-zoom camera mounted on a mobile robot. Journal of Electronic Imaging, 24(6), 061110-061110. |
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76 |
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Sumi Code g, Taguchi bright, Hattori public central light, Paul Black Chengchi & Mei Kawasaki too made. (2015). Three-dimensional measurement wo with i ta for airplanes fu ASTON na ? automatic external Sightseeing Inspection Probes ? su Te Rousseau. Society for Precision Engineering blog, 81 (12), 1140 -1145. |
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77 |
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Gaur, D., Saxena, S., Sangwan, D., & Raheja, J. L. (2015). Identification and recognition of defects in civil structures using non-destructive technique. In Information systems design and intelligent applications (pp. 747-755). Springer India. |
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78 |
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Agunbiade, O. Y., Ngwira, S. M., Zuva, T., & Akanbi, Y. (2015). Improving ground detection for unmanned vehicle systems in environmental noise scenarios. The International Journal of Advanced Manufacturing Technology, 1-9. |
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79 |
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Kaushik, D., & Bhardwaj, A. Hand Gesture Recognition with Shape and Color for HCI. |
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80 |
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Kathiresan, N., & Manoharan, J. S. (2015). A Comparative Analysis of Fusion Techniques Based on Multi Resolution Transforms. National Academy Science Letters, 38(1), 61-65. |
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81 |
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Zhang, C., Luo, X., Zhang, Z., Gao, R., & Wu, X. (2015). Multi-focus Image Fusion Method Using Higher Order Singular Value Decomposition and Fuzzy Reasoning. Journal of Algorithms & Computational Technology, 9(3), 303-322. |
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82 |
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Suru, D., & Karamchandani, S. (2015, February). Image Fusion in Variable Raster Media for Enhancement of Graphic Device Interface. In Computing Communication Control and Automation (ICCUBEA), 2015 International Conference on (pp. 733-736). IEEE. |
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83 |
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Prakash, O., & Khare, A. (2015). CT and MR Images Fusion Based on Stationary Wavelet Transform by Modulus Maxima. In Computational Vision and Robotics (pp. 199-204). Springer India. |
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84 |
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Chen, Y., & Hu, W. (2015, August). Low light level color night vision technology study on triple-band. In International Conference on Optical Instruments and Technology 2015 (pp. 96180S-96180S). International Society for Optics and Photonics. |
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85 |
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Pohl, C., Nazirun, N. N. N., & Tamin, S. S. (2015). Multimodal Medical Image Fusion in Cardiovascular Applications. In Medical Imaging Technology (pp. 91-109). Springer Singapore. |
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86 |
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Yin, H., Liu, Z., Fang, B., & Li, Y. (2015). A novel image fusion approach based on compressive sensing. Optics Communications, 354, 299-313. |
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87 |
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Aiordachioaie, D. (2015, June). On the spatial and multi-frequency airborne ultrasonic image fusion. In Electronics, Computers and Artificial Intelligence (ECAI), 2015 7th International Conference on (pp. E-33). IEEE. |
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88 |
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Siddiqui, U. Z., & Thorat, P. R. A New Approach to Efficient Medical Image Fusion.Chen Chao, Huwen Gang, WU Dong-sheng, He Yongqiang, Dongxiao Zhang, & Li Xiaoming. (2015). Three-band color shimmer night vision Research Methods Applied Optics, (3), 430-434. |
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89 |
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Meruga, J. M., Fountain, C., Kellar, J., Crawford, G., Baride, A., May, P. S., ... & Hoover, R. (2015). Multi-layered covert QR codes for increased capacity and security. International Journal of Computers and Applications, 37(1), 17-27. |
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90 |
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Devisree, G. S., & Praveen, K. (2015). Secretly Shared QR Code and Its Applications. In Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (pp. 473-480). Springer India. |
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91 |
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Dube, S., Ndlovu, S., Nyathi, T., & Sibanda, K. QR Code Based Patient Medical Health Records Transmission: Zimbabwean Case. |
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92 |
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Shakil, M., Durbakula, K., Spoorti, K., & Jose, M. (2015). Yencode–its application in dentistry. Journal of Mobile Technology in Medicine, 4(2), 48-50. |
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93 |
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Reddy, V. L., & Kumar, S. N. R. (2015). Novel QR Code Image Watermarking using Wavelet Transform. International Journal of Computer Applications, 123(17). |
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94 |
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Moidin Shakil, M. D. S. yencode áits application in dentistry. |
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95 |
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JABEZ, T., & Srinivasarao, j. optimized qr code watermarking scheme for copyright protection based on discrete wavelet transform. |
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96 |
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Sen, A., & Jou, Y. (2015). Secure Data Transmission Technique for iPhone using Quick Response (QR) Code. |
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97 |
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Ranjthkumar, t., & sathyaprabha, g. optimized dwt based watermarking approach for qr code in digital media. |
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98 |
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Xu Jie, Jin Guoqing, Liu Yan '& l. (2015). Design and implementation of Internet QR code image monitoring system. Information Network Security, (6), 13-18. |
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99 |
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Raja, R., Roomi, S., & Dharmalakshmi, D. (2015, January). Robust indoor/outdoor scene classification. In Advances in Pattern Recognition (ICAPR), 2015 Eighth International Conference on (pp. 1-5). IEEE. |
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100 |
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Gupta, V., & Gupta, V. Nav view search. |
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101 |
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Thanikkal, J. G., Danish, M., & Sarwar, S. A New Android Based Steganography Application for Smartphone’s. |
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102 |
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Thanikkal, J. G., Thanikkal, J. G., & Danish, M. A High Capacity Reversible Data Hiding Scheme: A Case Study. |
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103 |
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Singh, H., Singh, A., & Litoria, P. K. Creation of Wetland Inventory of Kapurthala district in Punjab using Geoinformatics. |
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104 |
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Arsanjani, T. J., Javidan, R., Nazemosadat, M. J., Arsanjani, J. J., & Vaz, E. (2015). Spatiotemporal monitoring of Bakhtegan Lake's areal fluctuations and an exploration of its future status by applying a cellular automata model. Computers & Geosciences, 78, 37-43. |
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105 |
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Ganesan, P., Rajini, V., Sathish, B. S., & Shaik, K. B. (2015). Segmentation and Comparison of Water Resources in Satellite Images Using Fuzzy-Based Approach. In Intelligent Computing, Communication and Devices (pp. 685-692). Springer India. |
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106 |
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Jawak, S. D., Kulkarni, K., & Luis, A. J. (2015). A Review on Extraction of Lakes from Remotely Sensed Optical Satellite Data with a Special Focus on Cryospheric Lakes. Advances in Remote Sensing, 4(03), 196. |
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107 |
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Sayyed, N., Joshi, P., & Wagh, C. Novel Approaches of Image Segmentation for Water Bodies Extraction. |
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108 |
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Yang Shuwen, Li Yijun, Liu Tao, Yao Flower & piano (2015) A new method based on image SPOT5 automatic extraction of water body of Wuhan University: Information Science, 40 (3), 308-314. |
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109 |
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Nsubuga, F. W., Botai, J. O., Olwoch, J. M., deW Rautenbach, C. J., Kalumba, A. M., Tsela, P., ... & Mearns, K. F. (2015). Detecting changes in surface water area of Lake Kyoga sub-basin using remotely sensed imagery in a changing climate. Theoretical and Applied Climatology, 1-11. |
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110 |
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Gupta, A., Kharbanda, O. P., Sardana, V., Balachandran, R., & Sardana, H. K. (2015). Accuracy of 3D cephalometric measurements based on an automatic knowledge-based landmark detection algorithm. International journal of computer assisted radiology and surgery, 1-13. |
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111 |
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Majumdar, D., Kole, D. K., Chakraborty, A., & Majumder, D. D. (2015, August). An Integrated Digital Image Analysis System for Detection, Recognition and Diagnosis of Disease in Wheat Leaves. In Proceedings of the Third International Symposium on Women in Computing and Informatics (pp. 400-405). ACM. |
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112 |
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Vibhute, A. S. (2015). An Image Processing Approach for Fertilizer and Pesticide Management. |
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113 |
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Prashar, K., Talwar, R., & Kant, C. (2015). A Review on Efficient Identification of American Cotton Leaf Diseases through Training Set. |
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114 |
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Sharma, N., Saurav, S., Singh, S., Saini, R., & Saini, A. K. (2015, August). A comparative analysis of various image enhancement techniques for facial images. In Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on (pp. 2279-2284). IEEE. |
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115 |
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Tyagi, P., & Bhosle, U. (2015). Kalman Filter Based Atmospheric Correction of Multispectral Images. Journal of Remote Sensing Technology, 3(2), 9. |
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116 |
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Kulyukin, V., & Andhavarapu, S. (2015, January). Image Blur Detection with 2D Haar Wavelet Transform and Its Effect on Skewed Barcode Scanning. In Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV) (p. 125). The Steering Committee of The World Congress in Computer Science, Computer Engineerin |
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117 |
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Olaode, A. A., Naghdy, G., & Todd, C. A. Bag-of-Visual Words Codebook Development for the Semantic Content Based Annotation of Images. |
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118 |
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Chaudhari, R. E., & Dhok, S. B. Fast Quadtree Based Normalized Cross Correlation Method for Fractal Video Compression using FFT. |
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119 |
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Sadeghi, Z. (2015). Children’s Line Drawings and Object Representation Strategies: Categorization of Children’s Mental Representation Strategies According to the Existing Theories for Object Recognition by Studying Line Drawings. |
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120 |
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Ramanaiah, K. V., & Sridhar, S. Soft Computing Artificial Neural Networks and Transform Based Image Compression Techniques-An Analysis. |
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121 |
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Mahadevi, M., & Sumathi, C. P. (2015). Face Localization based on Skin Color. International Journal of Computer Applications, 109(12), 25-28. |
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122 |
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Singh, G., & Sachan, M. (2015, September). Offline Gurmukhi script recognition using knowledge based approach & Multi-Layered Perceptron neural network. In Signal Processing, Computing and Control (ISPCC), 2015 International Conference on (pp. 266-271). IEEE. |
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123 |
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Tannous, F. K. I. Character Recognition in LEDs and LCDs. |
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124 |
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Kodgule, U. B., & Sonkamble, B. A. (2015). Discrete Wavelet Transform based Fractal Image Compression using Parallel Approach. International Journal of Computer Applications, 122(16). |
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125 |
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Soeleman, M. A., Hariadi, M., Yuniarno, E. M., & Purnomo, M. H. (2015). Automatic Moving Objects Segmentation Enhancement Based on Fuzzy C-Means with Gabor Filter and Minkowski Distance. International Review on Computers and Software (IRECOS), 10(10), 1054-1061. |
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126 |
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Minaoui, B., Oujaoura, M., Fakir, M., & Sajieddine, M. (2015). Toward an Effective Combination of multiple Visual Features for Semantic Image Annotation. TELKOMNIKA Indonesian Journal of Electrical Engineering, 15(3), 533-543. |
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