Study Of Image Segmentation By Using Edge Detection Techniques

Image segmentation is an important problem in different fields of image processing and computer vision. Segmentation subdivides an image into its constituent regions or object. Image segmentation can be obtained by using various methods, some which are easier to achieve than others due to the need of high programming. Edge detection is the approach used most frequently for segmenting images based on abrupt (local) changes in intensity. The focus of this paper is an attempt to present the study of Sobel, Canny, Robert, Prewitt, LoG (Laplacian of Gaussian) edge detection techniques for the purpose of image segmentation and experimental results obtained using the MATLAB version 7.12.0.635 (R2011a) software is discussed highlighting the performance of each method.