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HSV Color Motif Co-Occurrence Matrix for Content based Image Retrieval

by K. N. Prakash, K. Satya Prasad
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 16
Year of Publication: 2012
Authors: K. N. Prakash, K. Satya Prasad
10.5120/7430-0337

K. N. Prakash, K. Satya Prasad . HSV Color Motif Co-Occurrence Matrix for Content based Image Retrieval. International Journal of Computer Applications. 48, 16 ( June 2012), 8-14. DOI=10.5120/7430-0337

@article{ 10.5120/7430-0337,
author = { K. N. Prakash, K. Satya Prasad },
title = { HSV Color Motif Co-Occurrence Matrix for Content based Image Retrieval },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 16 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 8-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number16/7430-0337/ },
doi = { 10.5120/7430-0337 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:44:12.358595+05:30
%A K. N. Prakash
%A K. Satya Prasad
%T HSV Color Motif Co-Occurrence Matrix for Content based Image Retrieval
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 16
%P 8-14
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, HSV based color motif co-occurance matrix (HSV-Motif) is proposed for content based image retrieval (CBIR). The HSV-Motif is proposed in contrast to the RGB based color motif co-occurance matrix (RGB-Motif). First the RGB (red, green, and blue) image is converted into HSV (hue, saturation, and value) image, then the H and S images are used for histogram calculation by quantizing into Q levels and the local region of V (value) image is represented by sevn motif, which are evaluated by taking into consideration of local difference between the pixels. Motif extracts the information based on distribution of edges in an image. Two experiments have been carried out for proving the worth of our algorithm. It is further mentioned that the database considered for experiments are Corel 1000 database (DB1), and MIT VisTex database (DB2). The results after being investigated show a significant improvement in terms of their evaluation measures as compared to RGB-Motif.

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Index Terms

Computer Science
Information Sciences

Keywords

Color Texture Feature Extraction Local Binary Patterns Image Retrieval

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