期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2020
卷号：2
期号：10
页码：393-399
DOI：10.35629/5252-0210327330
语种：English
出版社：IJAEM JOURNAL
摘要：Assessment of a diabetic wound is very much important to determine the healing status. Foot ulcer is most commonly observed problem of diabetic patients. A diabetic wound is observed for approximately 15 per cent of diabetic patients. Diabetic wound is a major concern of diabetes mellitus. The foot ulcer is the very much harm full problem related to diabetes mellitus. Here K means clustering is used for segmentation of diabetic wounds and classifying into three types of tissues i.e. granulation, necrotic and slough. After the segmentation the color and shape features are extracted. All these features were then fed to the classifier, K-nearest neighbour for classifying the tissue types. The experimental results showed that the classification accuracy, sensitivity, specificity respectively. Hence the K means clustering with KNN classifier could be used for the effective segmentation and classification of diabetic wound images.
