A Study of Region-Based and Contourbased Image Segmentation

Abstract

In computer vision, segmentation refers to the process of partitioning a digital image into multiple segments (sets of pixels, also known as super-pixels). This paper attempts to undertake a study of two categories of image segmentation which are Contour-Base and Region-Base. In the first category, Contour-Based image segmentation, the study is on some edge detection techniques which include Sobel, Canny and Robert Cross edge detection techniques and for the Region-based image segmentation, the study is on image thresholding. These two categories of image segmentation will be performed using MATLAB Version 7.12.0.635 (R2011a) and the experimental results obtained are discussed.