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Clustering Techniques based Crops Image Segmentation

Published on April 2012 by K. Muthukannan, P. Latha
journal_cover_thumbnail

International Conference in Recent trends in Computational Methods, Communication and Controls
Foundation of Computer Science USA
ICON3C - Number 2
April 2012
Authors: K. Muthukannan, P. Latha
987269f1-f8a6-4650-83aa-34aef6180699

K. Muthukannan, P. Latha . Clustering Techniques based Crops Image Segmentation. International Conference in Recent trends in Computational Methods, Communication and Controls. ICON3C, 2 (April 2012), 33-37.

@article{
author = { K. Muthukannan, P. Latha },
title = { Clustering Techniques based Crops Image Segmentation },
journal = { International Conference in Recent trends in Computational Methods, Communication and Controls },
issue_date = { April 2012 },
volume = { ICON3C },
number = { 2 },
month = { April },
year = { 2012 },
issn = 0975-8887,
pages = { 33-37 },
numpages = 5,
url = { /proceedings/icon3c/number2/6014-1015/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference in Recent trends in Computational Methods, Communication and Controls
%A K. Muthukannan
%A P. Latha
%T Clustering Techniques based Crops Image Segmentation
%J International Conference in Recent trends in Computational Methods, Communication and Controls
%@ 0975-8887
%V ICON3C
%N 2
%P 33-37
%D 2012
%I International Journal of Computer Applications
Abstract

Segmentation of an image entails the division or separation of the image into regions of similar attribute. The most basic attribute for segmentation of an image is its luminance amplitude for a monochrome image and color components for a color image. The main objective of this paper is to segment the natural crops images by using clustering techniques which is produced very good results. The clustering based image segmentation in the field of agriculture imaging(crops image segmentation) based on its color, size, shape, contrast and etc. and this algorithm is going to be produced more advantages such as less execution time, more accuracy.

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Index Terms

Computer Science
Information Sciences

Keywords

Edge Detection K-means Clustering Optimal Fuzzy C-means Clustering Segmentation