IMAGE EDGE DETECTION USING YUV COLOR SPACE: AN ALTERNATIVE TO RGB COLOR SPACE

Abstract

The concept of edge detection is an aspect of image processing that attracts lot of attention as it is known to significantly reduce the amount of data and filters out useless information in an image. Boundaries of an image are usually characterized by edges, which in turn preserve the important structural properties in an image. Color is a property that is imminent and which simplifies description, object identification and extraction from scene thereby making colour image edge detection to have widespread in colour image segmentation. This paper reviews the method of RGB image edge detection with an improvement on colour image edge detection by transformation from RGB colour space to YUV colour space, processing the Y-component of the YUV image accompanied with histogram equalization transform of the processed image. The experiment results show that the improved method provides a faster method for colour image detection whilst retaining more features when compared to RGB image detection.