A PROPOSAL ON IMAGE PROCESSING METHODS FOR THE SYSTEMATIC ANALYSIS OF DIABETIC RELATED IMAGES

Abstract

Today there is almost no area of technical endeavor that is not impacted in some way or the other by Digital Image Processing. The ultimate aim in a large number of image processing applications is to extract important features of the image data. Where an image description, interpretation, or understanding of the scene can be obtained for human viewers, or to provide ‘better’ input for other automated image processing techniques when an image is processed for visual interpretation, the viewer is the ultimate judge of how well a particular method works. Diabetes Mellitus (DM) is a metabolic disorder that characterized by inability of pancreas to control blood glucose concentration, this problem results in blood glucose levels out of normal range. Whenever DM is associated with other diseases may become more harmful than earlier. The Objective of this research work to give easy analysis of the anomalies underlying due to DM using various Imaging technologies. In this process the new hybrid approach is established by combining pre-processing method Hybrid Morphological Reconstruction Technique followed by post-processing method Watershed Segmentation to obtain good results to analyze and forecast the abnormalities in the considered problem for accurate diagnosis. And also to make the products of this research freely available to the academic and medical community as open standard system. In this work the exploration and investigation of the significance of less commonly used estimate parameters in process of medical image analysis is done. Keywords: Image, segmentation, Diabetic, morphological, watershed