Image Segmentation Using Mathematical Morphology 


Vol. 30,  No. 11, pp. 1076-1082, Nov.  2005


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  Abstract

Recently, there have been much efforts in the image segmentation using morphological approach. Among them, the watershed algorithm is one of powerful tools which can take advantages of both of the conventional edge-based segmentation and region-based segmentation. The concept of watershed is based on topographic analogy. But, its high sensitivity to noise yields a very large number of resulting segmented regions which leads to oversegmentation. So we suggest the restricted waterfall algorithm which reduce the oversegmentation by eliminate not only local minima but also local maxima. As a result, the restricted waterfall algorithm has a good segmented image than the other methods, and has a better binary image than the histogram thresholding method.

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  Cite this article

[IEEE Style]

S. Cho and H. Kang, "Image Segmentation Using Mathematical Morphology," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 11, pp. 1076-1082, 2005. DOI: .

[ACM Style]

Sun-gil Cho and Hyunchul Kang. 2005. Image Segmentation Using Mathematical Morphology. The Journal of Korean Institute of Communications and Information Sciences, 30, 11, (2005), 1076-1082. DOI: .

[KICS Style]

Sun-gil Cho and Hyunchul Kang, "Image Segmentation Using Mathematical Morphology," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 11, pp. 1076-1082, 11. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880