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Watershed Segmentation based on Distance Transform and Edge Detection Techniques

by Pinaki Pratim Acharjya, Dibyendu Ghoshal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 13
Year of Publication: 2012
Authors: Pinaki Pratim Acharjya, Dibyendu Ghoshal
10.5120/8259-1792

Pinaki Pratim Acharjya, Dibyendu Ghoshal . Watershed Segmentation based on Distance Transform and Edge Detection Techniques. International Journal of Computer Applications. 52, 13 ( August 2012), 6-10. DOI=10.5120/8259-1792

@article{ 10.5120/8259-1792,
author = { Pinaki Pratim Acharjya, Dibyendu Ghoshal },
title = { Watershed Segmentation based on Distance Transform and Edge Detection Techniques },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 13 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 6-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number13/8259-1792/ },
doi = { 10.5120/8259-1792 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:52:07.202804+05:30
%A Pinaki Pratim Acharjya
%A Dibyendu Ghoshal
%T Watershed Segmentation based on Distance Transform and Edge Detection Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 13
%P 6-10
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An edge detection algorithm for digital images is proposed in this paper. Edge detection is one of the important and most difficult tasks in image processing and analysis. In images edges can create major variation in the picture quality where edges are areas with strong intensity contrasts. Edges in digital images are areas with strong intensity contrasts and a jump in intensity from one pixel to the next can create major variation in the picture quality. This paper proposed an effective edge detection algorithm based morphological edge detectors and watershed segmentation algorithm using distance transform. The result confirms that the proposed algorithm is found to yield satisfactory and efficient segmentation of the digital images for edge detection. Experimental result presented in this paper is obtained by using MATLAB.

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Index Terms

Computer Science
Information Sciences

Keywords

Edge detection Segmentation Distance Transform Watersheds

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