Abstract

The target of doing image segmentation basically to modify and simplification of an image representation into more meaningful and informative way so that image could be analyses in an appropriately. For the area of clinical image analysis which is very vital area of human life the segmentation of images importantly needed to process the image. This paper focused on a very effective and useful morphological approach to segment the clinical image based on LoG (Laplacian of Gaussian), gradient of image and watershed approach with distance transform to detect edge of human x-ray images.

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