Fuzzy C means based approach for analysis of Varicose Veins

Abstract

Large data sets are divided into clusters of smaller sets of the same data using a technique called data clustering. One of the artificial intelligence decision-making techniques with a broad variety of uses is fuzzy logic. It has been established that fuzzy logic works well in practically all systematic disciplines. In the realm of medical imaging, the fuzzy C-means clustering algorithm is a widely used unsupervised method. This research suggests a method for the diagnosis of varicose veins based on a Fuzzy C-means algorithm approach. With this, the programme processes the supplied picture and finds any ailment. It includes applying image processing to automatically categorize and identify varicose veins.