Open AccessUsing Color and Texture Feature Extraction Technique to Retrieve Image
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k1166.09811s19
Subject(s) - artificial intelligence , color histogram , pattern recognition (psychology) , computer science , computer vision , feature extraction , image texture , histogram , feature (linguistics) , color quantization , texture (cosmology) , color image , color normalization , image (mathematics) , image processing , linguistics , philosophy
This paper proposes a content image retrieval using the texture and the color feature of the images. Although for extraction of texture feature, the “gray level co-occurrence matrix (GLCM) algorithm” is used and for extracting color feature the color histogram is used. The presented system is tested on the WANG database that contains a thousand color images with ten different classes by the help of three various type of distances