Color-to-Grayscale Algorithms Effect on Edge Detection—A Comparative Study
Published in IEEE International Conference on Electronics, Information, and Communication (ICEIC), 2018
Abstract
In image processing, color images are converted into grayscale to perform edge detection, without considering the color-to-grayscale algorithms in details. We have evaluated the impact of various color-to-grayscale algorithms in edge detection. This study shows that edges are not only dependent on the methods used for edge detection but also on the color-to-grayscale conversion algorithms. We have implemented ten different color-to-grayscale conversion algorithms in MATLABR2016a and the resultant grayscale images were further tested with eight different edge detection algorithms. The experimental results shows that the Lightness color-to-grayscale conversion algorithm achieves higher performance among evaluated methods.