Medical Image Segmentation using Penalized FCM and Pollination based Optimization Approach
نویسندگان
چکیده
Image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as super pixels). The goal of segmentation is to simplify or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries (lines, curves, etc. ) in images. In this paper we are going to discuss various approaches in image segmentation and various segmentation algorithms in image processing and analysis.
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