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Identification of Similar Looking Bulk Split Grams using GLCM and CGLCM Texture Features
by
Pushpalatha K. R.,
Asha Gowda Karegowda,
D. Ramesh
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 167 - Number 6 |
| Year of Publication: 2017 |
| Authors: Pushpalatha K. R., Asha Gowda Karegowda, D. Ramesh |
10.5120/ijca2017914328
|
Pushpalatha K. R., Asha Gowda Karegowda, D. Ramesh . Identification of Similar Looking Bulk Split Grams using GLCM and CGLCM Texture Features. International Journal of Computer Applications. 167, 6 ( Jun 2017), 30-36. DOI=10.5120/ijca2017914328
@article{
10.5120/ijca2017914328,
author = {
Pushpalatha K. R.,
Asha Gowda Karegowda,
D. Ramesh
},
title = { Identification of Similar Looking Bulk Split Grams using GLCM and CGLCM Texture Features },
journal = {
International Journal of Computer Applications
},
issue_date = { Jun 2017 },
volume = { 167 },
number = { 6 },
month = { Jun },
year = { 2017 },
issn = { 0975-8887 },
pages = {
30-36
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume167/number6/27778-2017914328/
},
doi = { 10.5120/ijca2017914328 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:14:54.087107+05:30
%A Pushpalatha K. R.
%A Asha Gowda Karegowda
%A D. Ramesh
%T Identification of Similar Looking Bulk Split Grams using GLCM and CGLCM Texture Features
%J International Journal of Computer Applications
%@ 0975-8887
%V 167
%N 6
%P 30-36
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Content based image retrieval (CBIR) is an automated way to retrieve images based on the visual content or image features itself. Visual inspection of food type is tiresome and time consuming task. This paper presents the retrieval of similar looking bulk split gram images using Grey Level Co-occurrence Matrix (GLCM) and Color Grey Level Co-occurrence Matrix (CGLCM) texture features. Texture feature matching procedure is based on three distance measures namely, Euclidean distance, Canberra distance and City block distance. The performance of a retrieved image is measured in terms of Precision. Experimental results show that the CGLCM provides better retrieving result than GLCM.
References
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Index Terms
Computer Science
Information Sciences
Keywords