Journal
HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES
Volume 4, Issue -, Pages -Publisher
SPRINGEROPEN
DOI: 10.1186/s13673-014-0006-x
Keywords
Content based image retrieval (CBIR); Multimedia retrieval; Local patterns; local ternary patterns (LTP); Directional Binary Patterns (DBC)
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This paper presents a novel evaluationary approach to extract color-texture features for image retrieval application namely Color Directional Local Quinary Pattern (CDLQP). The proposed descriptor extracts the individual R, G and B channel wise directional edge information between reference pixel and its surrounding neighborhoods by computing its grey-level difference based on quinary value (-2, -1, 0, 1, 2) instead of binary and ternary value in 0(circle), 45(circle), 90(circle), and 135(circle) directions of an image which are not present in literature (LBP, LTP, CS-LBP, LTrPs, DExPs, etc.). To evaluate the retrieval performance of the proposed descriptor, two experiments have been conducted on Core-5000 and MIT-Color databases respectively. The retrieval performances of the proposed descriptor show a significant improvement as compared with standard local binary pattern LBP, center-symmetric local binary pattern (CS-LBP), Directional binary pattern (DBC) and other existing transform domain techniques in IR system.
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