Analysis and Classification of Diabetic Foot Ulcer Using Kernel Graph Cut Method
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 12
Abstract
Diabetic foot ulcer is the complication of diabetic mellitus (DM) by increase of glucose in the blood results in nerve injury, by preprocessing technique the image suppresses unwanted distortion or enhances some image feature. Several techniques is used where segmentation is considered as one of the major step in medical image processing which divides a digital image into multiple regions to analyze and distinguish into different objects. First the image is classified by Support Vector Machines (SVM), K-Nearest Neighbor (K-NN) classifier and wound image analysis classifier (WIAC) are trained for classifying various set of wound images by their own set of features. The output of each classifier is an overlaid on segmented wound image, which measures the Further, the segmentation is done by Kernel Graph Cut segmentation process the redefinition of the contours of the wound image carried over, thus the wound determined is segmented, which measures the severity level of the wound for every texture covering on the segmented wound image.
Authors and Affiliations
Dr. C. Karthikeyini, D. Sudarvizhi, P. Uma devi
Keywords
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