IMAGE SEGMENTATION AND ITS CONSIDERABLE METHODOLOGIES IN THE DOMAIN OF DIGITAL IMAGE PROCESSING
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Abstract
Image segmentation is an elemental step in the process of extraction of some useful information from digital images. It tends to divide the image into various regions, the regions may be entities of the real world contained in the scene whose image is being considered. The main objective of segmentation is to make the representation of an image simpler and much easier to evaluate. Image segmentation finds its practical applications in the field of medical imaging and diagnosis, object recognition and detection tasks in the field of artificial intelligence etc. A wide class of problems in segmentation can be accomplished using lower processing levels; however in case of complex scenes, a simple general approach may not lead to correct and complete segmentation, so a means of higher processing levels that use certain specific knowledge of the problem domain is necessary. There is no generally accepted segmentation algorithm that can work for all types of images, a wide range of segmentation algorithms are available that are combined with all necessary information regarding the particular problem area to solve the problem. Any segmentation algorithm can be chosen according to its suitability for the problem in hand.
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