Open AccessComposite Method for Image Retrieval
Author(s) -
D. Madhavi,
N. Jyothi,
Khwaja Muinuddin Chisti Mohammed
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.c6559.029320
Subject(s) - artificial intelligence , computer science , gabor filter , image retrieval , feature extraction , rgb color model , pattern recognition (psychology) , feature (linguistics) , content based image retrieval , computer vision , image (mathematics) , linguistics , philosophy
In the present day to day life the retrieval of images from the larger database has become important like Google search. Presently, CBIR is trending method. In this paper images are retrieved in three stages with color, texture and shape feature extracted in each respective stage. The color feature extraction is done through finding different parameters for an RGB image, combined texture feature extraction through Gray level co-occurrence matrix GLCM and Gabor filter and shape feature extraction through region growing. The experiment is done on images present in coral database. The simulation results have been compared and it has been shown that the proposed method show high retrieval rate in terms of the average precision and average recall.