slugComparisons and Implementation of different Segmentation algorithm based on entropy and energy
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 6
Abstract
In image segmentation features like edges, boundaries etc are extracted to characterize images. This emphasizes the necessity of image segmentation, which divides an image into parts that have strong correlations with objects to reflect the actual information collected from the real world. Image segmentation is the most practical approach among virtually all automated image recognition systems. Feature extraction and recognition have numerous applications on telecommunication, weather forecasting, environment exploration and medical diagnosis. The goal of segmentation is to simplify and/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. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain visual characteristics. In this paper, there is an algorithm for extracting edges, boundaries from a given image is designed. For this canny edge detector and Otsu’s method is used. Canny edge detector and otsu method is extracted from image through image segmentation using different techniques.
Authors and Affiliations
Mr. Pratik Kumar Dubey, Mr. Naravendra Kumar, Mr. Ajay Suri
Keywords
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