Region-based image retrieval (RBIR), a special type of content based image retrieval (CBIR), is an important research. This paper presents integration of RBIR with relevance feedback (RF) to enhance the performance of CBIR. Watershed algorithm is used to extract regions but not all regions are with the same importance. So, a region-weighting scheme reflecting the process of human visual perception is proposed. By using relevance feedback method, the matching process could improve retrieval performance interactively and allow progressive refinement of query results according to the user's feedback action.
Hamdy, A. (2012). REGION-BASED IMAGE RETRIEVAL WITH RELEVANCE FEEDBACK. JES. Journal of Engineering Sciences, 40(No 3), 819-832. doi: 10.21608/jesaun.2012.114412
MLA
A. Hamdy. "REGION-BASED IMAGE RETRIEVAL WITH RELEVANCE FEEDBACK", JES. Journal of Engineering Sciences, 40, No 3, 2012, 819-832. doi: 10.21608/jesaun.2012.114412
HARVARD
Hamdy, A. (2012). 'REGION-BASED IMAGE RETRIEVAL WITH RELEVANCE FEEDBACK', JES. Journal of Engineering Sciences, 40(No 3), pp. 819-832. doi: 10.21608/jesaun.2012.114412
VANCOUVER
Hamdy, A. REGION-BASED IMAGE RETRIEVAL WITH RELEVANCE FEEDBACK. JES. Journal of Engineering Sciences, 2012; 40(No 3): 819-832. doi: 10.21608/jesaun.2012.114412
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