Design A System For Image Matching By Using Fuzzy C-Means Clusters | Zendy

Ali A. Yassin | Zendy; Essam Ebady | Zendy; Aqeel Yassin | Zendy

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Design A System For Image Matching By Using Fuzzy C-Means Clusters

Author(s) -

Ali A. Yassin,

Essam Ebady,

Aqeel Yassin

Publication year - 1999

Publication title -

mağallaẗ al-tarbiyaẗ wa-al-ʻilm

Language(s) - English

Resource type - Journals

eISSN - 2664-2530

pISSN - 1812-125X

DOI - 10.33899/edusj.1999.58717

Subject(s) - fuzzy logic , matching (statistics) , ambiguity , computer science , data mining , process (computing) , pixel , image (mathematics) , set (abstract data type) , block (permutation group theory) , cluster (spacecraft) , range (aeronautics) , fuzzy set , artificial intelligence , mathematics , engineering , statistics , geometry , programming language , aerospace engineering , operating system

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

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