TY - GEN
T1 - Content-based image retrieval using multiple shape descriptors
AU - Sarfraz, M.
AU - Ridha, A.
PY - 2007
Y1 - 2007
N2 - In this paper we investigate content-based image retrieval using various shape descriptors. The descriptors include 11 moment invariants, area ratios (3concentric ring based and 8-sector based) and simple shape descriptors (eccentricity, compactness, convexity, rectangularity, and solidity). The similarity measures used are Euclidean distance and Cosine correlation coefficient. For testing, 220 binary images from SQUID categorized into 12 image groups are used. Simple Shape Descriptors with Euclidean distance achieve the best average precision (0.593). Combining simple shape descriptors and area ratios, also using Euclidean distance as similarity measure, results in 3.29% improvement.
AB - In this paper we investigate content-based image retrieval using various shape descriptors. The descriptors include 11 moment invariants, area ratios (3concentric ring based and 8-sector based) and simple shape descriptors (eccentricity, compactness, convexity, rectangularity, and solidity). The similarity measures used are Euclidean distance and Cosine correlation coefficient. For testing, 220 binary images from SQUID categorized into 12 image groups are used. Simple Shape Descriptors with Euclidean distance achieve the best average precision (0.593). Combining simple shape descriptors and area ratios, also using Euclidean distance as similarity measure, results in 3.29% improvement.
UR - https://www.scopus.com/pages/publications/36249011931
U2 - 10.1109/AICCSA.2007.370714
DO - 10.1109/AICCSA.2007.370714
M3 - Conference contribution
AN - SCOPUS:36249011931
SN - 1424410312
SN - 9781424410316
T3 - 2007 IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2007
SP - 730
EP - 737
BT - 2007 IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2007
ER -