An Empirical Approach for Medical Diagnosis Using Image Segmentation and Shape Analysis
|Umed Singh1, Narender Singh2
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An image is an array, or a matrix, of square pixels (picture elements) arranged in columns and rows. The goal of image segmentation is to cluster pixels into salient image regions, i.e., regions corresponding to individual surfaces, objects, or natural parts of objects. The segmentation could be used for object recognition, occlusion boundary estimation within motion or stereo systems, image compression, image editing, or image database look-up. Image processing plays a key role in computer aided diagnosis and medical practice. . Shape analysis plays an important role in feature extraction and analysis. In this paper a technique is proposed to detect anaemic erythrocytes using image segmentation and shape parameters.