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http://dx.doi.org/10.6109/jkiice.2013.17.3.718

A Study on the Edge Detection using Region Segmentation of the Mask  

Lee, Chang-Young (부경대학교 제어계측공학과)
Kim, Nam-Ho (부경대학교 제어계측공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.17, no.3, 2013 , pp. 718-723 More about this Journal
Abstract
In general, the boundary portion of the background and objects are the rapidly changing point and an important elements to analyze characteristics of image. Using these boundary parts, information about the position or shape of an object in the image are detected, and many studies have been continued in order to detect it. Existing methods are that implementation of algorithm is comparatively simple and its processing speed is fast, but edge detection characteristics is insufficient because weighted values are applied to all the pixels equally. Therefore, in this paper, we proposed an algorithm using region segmentation of the mask in order to adaptive edge detection according to image, and the results processed by proposed algorithm indicated superior edge detection characteristics in edge area.
Keywords
Edge detection; Region segmentation; Algorithm; Adaptive mask;
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