Review of Various Image Segmentation Methods

Abstract

One of the most challenging task in computer vision which is carried to segment the regions which resemble the objects is image segmentation. The paper is a survey paper which gives the various segmentation methods used in computer vision, their advantages and disadvantages. The paper concludes with the fact that deep learning has becoming the promising approach for the semantic image segmentation. Convolutional neural networks is widely used for doing the segmentation process.