Home   >   CSC-OpenAccess Library   >    Manuscript Information
Land Boundary Detection of an Island using improved Morphological Operation
Shreetam Behera, Mihir Narayan Mohant
Pages - 413 - 421     |    Revised - 15-11-2012     |    Published - 31-12-2012
Volume - 6   Issue - 6    |    Publication Date - December 2012  Table of Contents
Remote Sensing Images, Edge Detection, Gray- scale Morphological Analysis, Structuring Element
Image analysis is one of the important tasks to obtain the information about earth surface. To detect and mark a particular land area, it is required to have the image from remote place. To recognize the same, the accurate boundary of that area has to be detected. In this paper, the example of remote sensing image has been considered. The accurate detection of the boundary is a complex task. A novel method has been proposed in this paper to detect the boundary of such land. Mathematical morphology is a simple and efficient method for this type of task. The morphological analysis is performed using structure elements (SE). By using mathematical morphology the images can be enhanced and then the boundary can be detected easily. Simultaneously the noise is removed by using the proposed model. The results exhibit the performance of the proposed method. Keywords: Remote Sensing images ; Edge detection; Gray- scale Morphological analysis, Structuring Element (SE).
CITED BY (2)  
1 Mallick, P. K., Satapathy, B. S., Mohanty, M. N., & Kumar, S. S. (2015, February). Intelligent technique for CT brain image segmentation. In Electronics and Communication Systems (ICECS), 2015 2nd International Conference on (pp. 1269-1277). IEEE.
2 Jyoti, A., Mohanty, M. N., & Pradeep Kumar, M. (2014, February). Morphological based segmentation of brain image for tumor detection. In Electronics and Communication Systems (ICECS), 2014 International Conference on (pp. 1-5). IEEE.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 Scribd 
5 SlideShare 
6 PdfSR 
Davis, L. S., "Edge detection techniques", Computer Graphics Image Process. (4), pp.248-270, 1995.
Fesharaki, M.N.; Hellestrand, G.R.; "A new edge detection algorithm based on a statistical approach", Speech, Image Processing and Neural Networks, Proceedings, ISSIPNN '94.,International Symposium, vol.1, 13-16 April 1994, Page(s):21 - 24.
G.Matheron and J.Serra, “The birth of Mathematical Morphology”, in Mathematical Morphology, H. Talbot, R. Beare, Edts Proc. ISMM 2002, CSIRO Sydney 2002 pp. 1-16.
J. Canny, “A computational approach to edge detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence 8 (1986), pp. 679–714.
J.Serra, “Image analysis and mathematical morphology” ,Academic Press Inc.1982.
Li Dong Zhang; Du Yan Bi; "An improved morphological gradient edge detection algorithm",Communications and Information Technology, ISCIT 2005. IEEE International Symposium on Volume 2, 12-14 Oct. 2005, Page(s):1280 – 1283.
Luc Vincent “Morphological Grayscale Reconstruction in Image Analysis: Applications and Efficient Algorithms”, IEEE Transactions on Image Processing, Vol. 2, No. 2, pp. 176-201,April 1993.
Mihir Mohanty, Arabinda Mishra, Aurobinda Routray , “A non-rigid motion estimation algorithm for yawn detection in human drivers,” International Journal of Computational Vision and Robotics 2009 - Vol. 1, No.1 pp. 89 - 109,doi: 10.1504/IJCVR.2009.
Rafael C. Gonzalez and Richard E. Woods, ”Digital Image Processing”, 3e, PHI, 2008.
Raman Maini and J. S. Sobel, "Performance Evaluation of Prewitt Edge Detector for Noisy Images", GVIP-ICGST Journal, Vol. 6, Issue 3, December 2006.
Rital, S.; Bretto, A.; Cherifi, H.; Aboutajdine, D.; "A combinatorial edge detection algorithm on noisy images", Video/Image Processing and Multimedia Communications 4th EURASIPIEEE Region 8 International Symposium on VIPromCom, Page(s):351 – 355, 16-19 June 2002.
S. Behera, Mihir N. Mohanty, and A. Mishra, “Cyst Detection: An Image Processing Approach”, IEEE Conf., ICECT, Apr. 2012,pp.55-59.
S.Behera; M.N.Mohanty, S. Patnaik" A Comparative Analysis on Edge Detection of Colloid Cyst: A Medical Imaging Approach " , Book Chapter in Soft Computing Techniques in Vision Sci., SCI 395, Springer-Verlag Berlin Heidelberg 2012, pp. 63–85.
Shin, M.C.; Goldgof, D.B.; Bowyer, K.W.; Nikiforou, S.; " Comparison of edge detection algorithms using a structure from motion task", Systems, Man and Cybernetics, Part B, IEEE Transactions on Volume 31, Issue 4, Page(s):589-601, Aug. 2001.
Mr. Shreetam Behera
Siksha O’ Anusandhan University - India
Mr. Mihir Narayan Mohant
- India