Open AccessA NEW APPROACH TO SHAPE-BASED IMAGE RETRIEVAL
Author(s) -
Mehdi Chehel Amirani,
Zahra Sadeghi Gol,
Ali Asghar Beheshti Shirazi
Publication year - 2014
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.7.3.530
Subject(s) - computer science , image retrieval , search engine indexing , feature (linguistics) , feature vector , pattern recognition (psychology) , feature extraction , active shape model , content based image retrieval , image (mathematics) , boundary (topology) , curvature , artificial intelligence , object (grammar) , function (biology) , mathematics , mathematical analysis , philosophy , linguistics , geometry , segmentation , evolutionary biology , biology
Content-based image retrieval (CBIR) is very active research topic in recent years. This paper introduces a new approach to shape-based image retrieval. At first, feature points are determined at the boundary of the shape as the extremums of a new version of the curvature function and the initial features are calculated at these points. The proposed method utilizes a supervised system for nonlinear combination of initial features for extraction of efficient and low dimensional feature vector for each shape. The retrieval performance of the approach is illustrated using the MPEG-7 shape database. Our experiments show that the proposed method is well suited for object indexing and retrieval in large databases.