Using Color and Texture Feature Extraction Technique to Retrieve Image | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Using 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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research