A Comprehensive Review of the Impact of Color Space on Image Segmentation

Color is the most important characteristics in the image segmentation process. The color can make a distinction of thousands of shades of color information. So the color based segmentation offers more significant extraction of information as compared to intensity or texture based segmentation. Color space is a numerical replica which represents color details as dissimilar color channels (components) in 3 or 4 dimensional polar or Cartesian system. The utilization of color space is application oriented. For instance, RGB system is employed for computer graphics and display whereas CMY is for printing applications. The proposed work conducts an elaborate survey of color spaces and their utilization for image segmentation.