Edge Detection Methods in Image Segmentation

Abstract

Image Segmentation is a significant preprocessing activity in picture acknowledgment and Computer
vision. It refers to the division of a picture into various important regions which do not overlap, with
similar properties. Thinking about its intricacy and difficulty, the current segmentation algorithms have
gained certain accomplishments to varying degrees. Image segmentation has a wide range of
applications, some of which are Satellite and Medical Imagery, Texture Recognition, Facial
Recognition systems, etc. In this paper, we aim to study different types of Edge detection techniques for
Image Segmentation, namely, Sobel, Prewitt, and Laplacian edge detection techniques in a comparative
way. The main goal of this research work is offer clarity of thought and information with this regard.