Open AccessRetrieval of Images using Combination of Features as Color, Color Moments and Hu Moments
Author(s) -
Rajkumar Densingh Samuel Raj,
M. V. Sudhamani
Publication year - 2019
Publication title -
advances in image and video processing
Language(s) - English
Resource type - Journals
ISSN - 2054-7412
DOI - 10.14738/aivp.75.7208
Subject(s) - artificial intelligence , computer vision , computer science , hsl and hsv , precision and recall , focus (optics) , color space , image retrieval , color histogram , velocity moments , pattern recognition (psychology) , color image , color quantization , image (mathematics) , image processing , zernike polynomials , physics , wavefront , optics , virus , virology , biology
In today’s digital era, several of the image retrieval systems focus on retrieving images using features from images themselves such as color, shape and textures and are referred as low-level features. In this proposed work, the features like color with HSV color space, color moments and Hu moments are employed to retrieve similar images. Various experimentations were conducted on Wang’s database images to test the combination of features for higher performance using precision, recall, accuracy and f-score. The results obtained are compared with one another and also with existing works. The retrieval performance is found to be high for proposed system against existing works.