Design a system for image matching by using fuzzy C-means clusters

Abstract EN

This research aims to take advantage of the possibility of an Fuzzy cluster means (FCM) algorithm with a cluster fuzzy groupings in matching images as a result of carrying fuzzy logic specification who enjoys high potential and strength in dealing with complex issues as well as being able to manage uncertainty and ambiguity effectively high.

And also enjoy the possibility of clusters dealing with a range of data across the block selected data dealing with it and thus give accurate results and reduce the volume of data that will deal with this data in the area of research will be moving toward a data image that will choose a set of formal statements by representatives of the photos that are subject to the system of matching and then That it implemented the policy in the process of matching to get results as well as the fact that we merger process between the method of election to choose a fuzzy cluster data model of pixels located on the edges of the image and not the image data is essential and this is what will discuss it later.