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Image Similarity Measurement using Region Props, Color and Texture: An Approach

by Satyajit Mondal, Joydeep Mukherjee
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 22
Year of Publication: 2015
Authors: Satyajit Mondal, Joydeep Mukherjee
10.5120/21833-5092

Satyajit Mondal, Joydeep Mukherjee . Image Similarity Measurement using Region Props, Color and Texture: An Approach. International Journal of Computer Applications. 121, 22 ( July 2015), 23-26. DOI=10.5120/21833-5092

@article{ 10.5120/21833-5092,
author = { Satyajit Mondal, Joydeep Mukherjee },
title = { Image Similarity Measurement using Region Props, Color and Texture: An Approach },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 22 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 23-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number22/21833-5092/ },
doi = { 10.5120/21833-5092 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:09:08.672640+05:30
%A Satyajit Mondal
%A Joydeep Mukherjee
%T Image Similarity Measurement using Region Props, Color and Texture: An Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 22
%P 23-26
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image similarity measurement is very important part for image clustering and content based image retrieval. Store the images and searching them with efficiency is the main issue. As the volume of image database increases day by day, efficient searching technique is a challenging job. Here a proposed approach is given for image similarity measurement using regionprops, color, texture and GLCM features.

References
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Index Terms

Computer Science
Information Sciences

Keywords

CBIR Regionprops Color Moments GLCM and Energy

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