抽象的

Image Segmentation and Classification- A Review

Chakshu Puri, Sukhwinder Singh

Segmentation is nothing but making the part of image or any object. Pattern recognition and image analysis are the initial steps of image segmentation. These segmented regions are classified on the basis of a variety of features derived from the classical Gestalt cues, including contour, texture, brightness and good continuation. Image segmentation is most of judging or analyzing function in image processing and analysis. Image segmentation refers to partition of an image into different regions that are homogeneous or similar and inhomogeneous in some characteristics. In a preprocessing stage an image is oversegmented into superpixels by normalized cut algorithm. Using the different algorithms the current methodologies of image segmentation is reviewed so that user interaction is possible for images. Methods of image analysis belong to a general interdisciplinary area of multidimensional signal processing.