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Reseach Article

Feature Extraction of Soil Images for Retrieval based on Statistics

by R. Shenbagavalli, K. Ramar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 88 - Number 14
Year of Publication: 2014
Authors: R. Shenbagavalli, K. Ramar
10.5120/15418-3822

R. Shenbagavalli, K. Ramar . Feature Extraction of Soil Images for Retrieval based on Statistics. International Journal of Computer Applications. 88, 14 ( February 2014), 8-12. DOI=10.5120/15418-3822

@article{ 10.5120/15418-3822,
author = { R. Shenbagavalli, K. Ramar },
title = { Feature Extraction of Soil Images for Retrieval based on Statistics },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 88 },
number = { 14 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 8-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume88/number14/15418-3822/ },
doi = { 10.5120/15418-3822 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:07:35.341295+05:30
%A R. Shenbagavalli
%A K. Ramar
%T Feature Extraction of Soil Images for Retrieval based on Statistics
%J International Journal of Computer Applications
%@ 0975-8887
%V 88
%N 14
%P 8-12
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In image processing, Statistical, geometrical and signal processing features are used to describe the texture of an image region. The signal processing methods involve enhancing original image using filters and calculating the features of the transformed images. In this paper, Law mask, Gabor Filter and color quantization are applied to the original images to extract the texture features of soil images for retrieval. Results on a database of 200 soil images belonging to 10 different types of Soils with different orientations, scales and translations show that proposed method performs retrieval efficiency effectively.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Soil texture Law mask features Gabor Filter Color Quantization