Color Image Edge Detection Using Cluster Analysis
نویسندگان
چکیده
A color image edge detection algorithm is proposed in this paper based on the idea that use global color information to guide local gradient computation. Major chromatic components of an image are rst extracted through cluster analysis. According to these color clusters , a set of linear chromatic transforms are generated. An appropriate chromatic transform is chosen for each pixel to maximize the gradient magnitude. In this way, edges are treated as transitions from one cluster to another. The algorithm is implemented and experimental results for real color images are included.
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تاریخ انتشار 1997