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Abstract: The Image segmentation is termed as an important step in image processing as a mojor step in this process. Image Segmentation is a way of clarifying the graphical/pictorial details and turn them into individual that is more consequential and obvious to examine by partitioning the image into numerous chunks (sets of pixel ,also known as image entity),according to there features and characterstic’s . Sectionalization is used to separate the parts from image for further processing. Segmentation is main principle for the successful extraction of image property and their following categorization. Image processing approaches can be grouped into six classes: amplitude thresholding, component labelling, boundary-based segmentation. region-based segmentation, cluster analysis , clustering based segmentation, convolution , edge based, template matching. and surface segmentation. Impressive segmentation techniques are presently available; however, each technique is hasty. In this report, we are going to study about new and advanced modern methods for image classification in digital vision system andits future scope. Segmentation is a key for understanding the images.