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Improving Morphology Operation for 2D Hole Filling Algorithm
Mokhtar M. Hasan, Pramod K. Mishra
Pages - 1 - 12     |    Revised - 15-01-2012     |    Published - 21-02-2012
Volume - 6   Issue - 1    |    Publication Date - February 2012  Table of Contents
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KEYWORDS
Morphology Operation, Dialation Morphology, Object Filling, 2D Object Filling, Object Holes, Noise Removal
ABSTRACT
object detection may result with some noises, the correct detecting of such object plays a major role for later recognition steps, the interior noise of the object must be removed, the morphological operations are used successfully for this purpose, these morphological operations are applied for 2D holes filling using dilation operation, in this paper we have enhanced this algorithm to get better and faster version that will reduce the processing time dramatically by using a dynamic marker, we have applied two kind of markers with different structuring elements but same size which is 3x3, the processing time is reduced and our algorithm reduced the processing time of the original algorithm down to one third, the results also enhanced since there are some cases missed by the extant version of morphological operations holes filling algorithm
CITED BY (11)  
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2 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.
3 Agunbiade, O. Y., Ngwira, S. M., & Zuva, T. (2014). Enhancement optimization of drivable terrain detection system for autonomous robots in light intensity scenario. The International Journal of Advanced Manufacturing Technology, 74(5-8), 629-636.
4 Yinka, A. O., Ngwira, S. M., Tranos, Z., & Sengar, P. S. (2014, February). Performance of drivable path detection system of autonomous robots in rain and snow scenario. In Signal Processing and Integrated Networks (SPIN), 2014 International Conference on (pp. 679-684). IEEE.
5 Agunbiade, O. Y., Ngwira, S. M., & Zuva, T. Optimized drivable path detection system for autonomous vehicle in rain condition.
6 Yang, C. H. T., Hsu, Y. T., & Chou, W. C. (2014, January). A Hole-Filling Approach Based on Morphological Operation for Stereoscopic Image Generation. In Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV) (p. 1). The Steering Committee of The World Congress in Computer Science, Computer Engin
7 Agunbiade, O. Y., Zuva, T., Johnson, A. O., & Zuva, K. (2014). Enhancement performance of road recognition system of autonomous robots in shadow scenario. arXiv preprint arXiv:1401.2051.
8 Algorithm Fangnai Wei, Lvxue Qiang, Zhang Dan, & Wang Tao. (2013) mechanical design master image contour extraction. Computer Engineering and Design, 34 (8), 2778-2782.
9 Hasan, M. M., & Mishra, P. K. (2012). Novel algorithm for multi hand detection and geometric features extraction and recognition. International Journal of Scientific & Engineering Research, 3(5).
10 Hasan, M. M., & Mishra, P. K. (2012). Real time fingers and palm locating using dynamic circle templates. International Journal of Computer Applications, 41(6).
11 Khan, R. Z., & Ibraheem, N. A. (2012). Comparative study of hand gesture recognition system. In Proc. of International Conference of Advanced Computer Science & Information Technology in Computer Science & Information Technology (CS & IT) (Vol. 2, No. 3, pp. 203-213).
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Mr. Mokhtar M. Hasan
BHU University - India
mmwaeli@gmail.com
Mr. Pramod K. Mishra
- India