Using Color and Texture Feature Extraction Technique to Retrieve Image
Santanu Kumar Sahoo1, Asit Kumar Subudhi2
1Santanu Kumar Sahoo, Dept. of Electronics & Communication Engineering, Siksha O Anusandhan Deemed to be University, Odisha, India.
2Asit Kumar Subudhi, Dept. of Electronics & Communication Engineering, Siksha O Anusandhan Deemed to be University, Odisha, India.
Manuscript received on 13 September 2019 | Revised Manuscript received on 22 September 2019 | Manuscript Published on 11 October 2019 | PP: 915-917 | Volume-8 Issue-11S September 2019 | Retrieval Number: K116609811S19/2019©BEIESP | DOI: 10.35940/ijitee.K1166.09811S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Texture, feature, Gray Level co-occurrence Matrix (GLCM), Color feature, Distance Formulas.
Scope of the Article: Image Security