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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
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
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
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

REGION-BASED IMAGE RETRIEVAL WITH RELEVANCE FEEDBACK

Article 12, Volume 40, No 3, May and June 2012, Page 819-832  XML PDF (502.22 K)
Document Type: Research Paper
DOI: 10.21608/jesaun.2012.114412
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Author
A. Hamdy
Department of Communications, and Computers Engineering Faculty of Engineering, Helwan University Cairo, Egypt
Abstract
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.
Keywords
Relevance feedback; Region-based image retrieval; Content-based image retrieval; Attention center; Integrated region matching; Watershed segmentation; Feature extraction
Main Subjects
Electrical Engineering, Computer Engineering and Electrical power and machines engineering.
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