Maintenance of High FOM by Varying Threshold in Color Edge Detection

The process of edge detection plays a significant role in image processing and vision processing. True edge detection is very difficult to achieve because intensity varies sharply and has discontinuities. Many methods have been developed by researchers in last few years. After studying the literature on color edge detection, we figured out that advanced algorithm using fuzzy logics have attained high figure of merit (FOM) value of 1with small threshold values but as the value grows higher the FOM value reduces. In this paper an algorithm has been proposed in order to achieve high figure of merit by varying threshold in color edge detection.  In this algorithm, there is an improvement over previously proposed edge detection using fusion of hue-difference and PCA image. The results are promising.