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A Robust Rapid Approach to Image Segmentation with Optimal Thresholding and Watershed Transform

by Ankit Chadha, Neha Satam
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 65 - Number 9
Year of Publication: 2013
Authors: Ankit Chadha, Neha Satam
10.5120/10949-5908

Ankit Chadha, Neha Satam . A Robust Rapid Approach to Image Segmentation with Optimal Thresholding and Watershed Transform. International Journal of Computer Applications. 65, 9 ( March 2013), 1-7. DOI=10.5120/10949-5908

@article{ 10.5120/10949-5908,
author = { Ankit Chadha, Neha Satam },
title = { A Robust Rapid Approach to Image Segmentation with Optimal Thresholding and Watershed Transform },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 65 },
number = { 9 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume65/number9/10949-5908/ },
doi = { 10.5120/10949-5908 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:18:20.939367+05:30
%A Ankit Chadha
%A Neha Satam
%T A Robust Rapid Approach to Image Segmentation with Optimal Thresholding and Watershed Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 65
%N 9
%P 1-7
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper describes a novel method for partitioning image into meaningful segments. The proposed method employs watershed transform, a well-known image segmentation technique. Along with that, it uses various auxiliary schemes such as Binary Gradient Masking, dilation which segment the image in proper way. The algorithm proposed in this paper considers all these methods in effective way and takes little time. It is organized in such a manner so that it operates on input image adaptively. Its robustness and efficiency makes it more convenient and suitable for all types of images.

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Index Terms

Computer Science
Information Sciences

Keywords

Binary Gradient Masking Dilation Segmentation Thresholding Watershed Transform

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