A Comparative Study of Image Segmentation using Edge-Based Approach
Authors: Rajiv Kumar, Arthanariee A. M.
Abstract:
Image segmentation is the process to segment a given image into several parts so that each of these parts present in the image can be further analyzed. There are numerous techniques of image segmentation available in literature. In this paper, authors have been analyzed the edge-based approach for image segmentation. They have been implemented the different edge operators like Prewitt, Sobel, LoG, and Canny on the basis of their threshold parameter. The results of these operators have been shown for various images.
Keywords: Edge Operator, Edge-based Segmentation, Image Segmentation, Matlab 10.4.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1087920
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 3605References:
[1] A. Rosenfeld, “A Nonlinear Edge Detection Techniques”, Proceedings of the IEEE, May 1970
[2] E. Argyle, “Techniques for edge detection”, Proc. IEEE, vol. 59, pp. 285-286, 1971.
[3] R. M. Haralick, “Digital Step Edges from Zero Crossing of Second Directional Derivatives”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. Pami-6, no. 1, Jan. 1986.
[4] J. F. Canny, “A computational approach to edge detection”, IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-8, no. 6, pp. 679-697, 1986.
[5] N. R. Pal and S. K. Pal, “A Review on Image Segmentation Techniques”, Pattern Recognition, vol. 26, no. 9, pp. 1277-1294, 1993.
[6] T. Kanungo, “A Methodology for Quantitative Performance Evaluation of Detection Algorithms”, IEEE Transactions on Image Processing, vol. 4, no. 12, Dec. 1995.
[7] W. Y. Ma and B. S. Manjunath, “Edge Flow: A Framework of Boundary Detection and Image Segmentation”, IEEE, 1997.
http://www.vivaldi.ece.ussb.edu
[8] C. Hampton, T. Persons, C. Wyatt and Y. Zhang, “Survey of Image Segmentation”, April 23, 1998.