An algorithm for visualizing and detecting edges in RGB color images using logarithmic ratio approach

In this paper, we present an algorithm for visualizing edges in RGB colored images as well as edge detection using logarithmic ratio approach. The developed visualization algorithm has a superior performance in highlighting more unforeseen color edges than the standard RGB-grayscale conversion method can present. Also, by integrating the proposed algorithm with a logarithmic-ratio based edge detector operator, the developed algorithm outperforms the standard edge detection operators in gradient colored images where color boundaries transitions are hard to detect.