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Reseach Article

A Summary of Deep Segmentation Techniques for Textured Images

Published on June 2013 by K. Meenakshi Sundaram, C.s.ravichandran
International Conference on Innovation in Communication, Information and Computing 2013
Foundation of Computer Science USA
ICICIC2013 - Number 3
June 2013
Authors: K. Meenakshi Sundaram, C.s.ravichandran
3340a656-dd16-40a7-8b79-2923f646eb72

K. Meenakshi Sundaram, C.s.ravichandran . A Summary of Deep Segmentation Techniques for Textured Images. International Conference on Innovation in Communication, Information and Computing 2013. ICICIC2013, 3 (June 2013), 1-4.

@article{
author = { K. Meenakshi Sundaram, C.s.ravichandran },
title = { A Summary of Deep Segmentation Techniques for Textured Images },
journal = { International Conference on Innovation in Communication, Information and Computing 2013 },
issue_date = { June 2013 },
volume = { ICICIC2013 },
number = { 3 },
month = { June },
year = { 2013 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /proceedings/icicic2013/number3/12271-0152/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Innovation in Communication, Information and Computing 2013
%A K. Meenakshi Sundaram
%A C.s.ravichandran
%T A Summary of Deep Segmentation Techniques for Textured Images
%J International Conference on Innovation in Communication, Information and Computing 2013
%@ 0975-8887
%V ICICIC2013
%N 3
%P 1-4
%D 2013
%I International Journal of Computer Applications
Abstract

In this paper, it is intended to summarize and discuss the methods of Segmentation for textured images in various applications of image processing. In particular, the problem of real time approaches for textured images is analyzed and their performances are studied and discussed. The main aim of segmentation is to locate objects of interest based on the available criteria and is sometimes a computer vision problem. But many important segmentation algorithms are too simple to solve this problem accurately. They compensate for this limitation with their predictability, generality, and efficiency.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Segmentation Textured Images