Title :
Study on efficient image indexing method based on adaptive fuzzy clustering
Author :
Jun, Zhang Tie ; Duo, Chen
Author_Institution :
Dept. of Comput. Sci. & Technol., Tangshan Coll., Tangshan, China
Abstract :
This paper presents a method of automatic acquisition threshold value that changes dynamically with data distribution by polynomial fitting technique. The proposed method overcomes the sensitivity to cluster centers and locality of FCM (fuzzy c-means) algorithm and establishes an index mechanism on the basis of above analysis. Simulations show that the adaptable fuzzy clustering image indexing performs well in retrieval efficiency.
Keywords :
fuzzy set theory; image retrieval; pattern clustering; polynomials; adaptive fuzzy clustering; automatic acquisition threshold value; data distribution; fuzzy c-mean algorithm; image indexing method; image retrieval; polynomial fitting technique; Algorithm design and analysis; Clustering algorithms; Silicon; Tin; content-based retrieval; fuzzy clustering; image search engine; indexing;
Conference_Titel :
Industrial and Information Systems (IIS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-7860-6
DOI :
10.1109/INDUSIS.2010.5565642
