Title :
Region-Based Image Clustering and Retrieval Using Fuzzy Similarity and Relevance Feedback
Author :
Fakouri, Reza ; Zamani, Behzad ; Fathy, Mahmood ; Minaei, Behrouz
Author_Institution :
Iran Univ. of Sci. & Technol., Tehran
Abstract :
This paper proposes an interactive approach for region-based image clustering and retrieval. By performing clustering before image retrieval, the search space can be reduced to those clusters that are close to the query target. First, the image is segmented to regions by using an unsupervised segmentation method. This is an area where a vast number of regions are involved. To reduce search space for region-based image retrieval, we use clustering based on genetic algorithm. Fuzzy similarity is used in order to compute the similarity of two images. Moreover, a two-class SVM is trained based on user interests to improve image retrieval. Experiments were performed on COREL image database and show the effectiveness of the proposed approach.
Keywords :
fuzzy set theory; image retrieval; image segmentation; pattern clustering; search problems; COREL image database; fuzzy similarity; image retrieval; region-based image clustering; relevance feedback; search space; unsupervised segmentation method; Feedback; Genetic algorithms; Image databases; Image retrieval; Image segmentation; Information retrieval; Radio frequency; Space technology; Support vector machines; Wavelet transforms; Fuzzy Similarity; GA Clustering; Image Retrieval; Region-based Image Clustering; Relevance Feedback; SVM;
Conference_Titel :
Computer and Electrical Engineering, 2008. ICCEE 2008. International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-0-7695-3504-3
DOI :
10.1109/ICCEE.2008.57