A New Frame Work for Content Based Image Retrieval Based on Rule Based Motifs on Full Texton Images
Anurag Group of Institutions (Autonomous), Hyderabad, India, G. Bindu Madhavi · International Journal of Advanced Trends in Computer Science and Engineering · 2019
This paper derives new framework for content based image retrieval (CBIR) by deriving color features and texture features.This paper initially transforms the RGB color plane image into HSV color plane and derives the individual histograms on H, S and V planes.This paper derives rule based dynamic motif matrix (RDMM) on full texton index (FTi) index images of V-plane.The FTi overcomes the disadvantages and ambiguity issues in indexing textons of earlier methods.The RDMM overcomes the ambiguity issues arise especially when two or more pixels of the 2x2 grid exhibit the similar intensity levels and this reduces overall retrieval rate.This paper integrated the co-occurrence features derived on RDMM-FTi with histogram features of pure color model.The proposed framework is tested on popular color databases and also compared with state of art models of texton and motif based methods based on average precision rate (APR) and average recall rate(ARR).The experimental results indicate the efficacy of the proposed method over the existing methods.