Content Based Medical Image Retrieval Using Fuzzy C- Means Clustering With RF

Content-based image retrieval is one of the techniques of image mining. Content-based image retrieval system (CBIR) has been proposed by the medical community to manage the storage and distribution of images to radiologists, physicians, specialists, clinics, and imaging centers. There are three fundamental steps for Content Based Image Retrieval. They are Visual Feature Extraction, Similarity Measurement and Retrieval System Design. Content-based image retrieval with relevance feedback (RF) schemes based on Fuzzy C-Means Clustering is used to retrieve the medical image effectively and efficiently. Data clustering is a process of separating similar data into groups. Fuzzy C-Means Clustering (FCM) is useful to mine complex and multi-dimensional data sets. This technique allows users to retrieve a similar query image from a database, thus ahigher retrieval performance can be achieved and also comparing cmeans and k-means clustering techniques for MRI scan images