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Effect of Various Spatial Sharpening Filters on the Performance of the Segmented Images using Watershed Approach based on Image Gradient Magnitude and Direction

by Dibyendu Ghoshal, Pinaki Pratim Acharjya
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 82 - Number 6
Year of Publication: 2013
Authors: Dibyendu Ghoshal, Pinaki Pratim Acharjya
10.5120/14120-2224

Dibyendu Ghoshal, Pinaki Pratim Acharjya . Effect of Various Spatial Sharpening Filters on the Performance of the Segmented Images using Watershed Approach based on Image Gradient Magnitude and Direction. International Journal of Computer Applications. 82, 6 ( November 2013), 19-26. DOI=10.5120/14120-2224

@article{ 10.5120/14120-2224,
author = { Dibyendu Ghoshal, Pinaki Pratim Acharjya },
title = { Effect of Various Spatial Sharpening Filters on the Performance of the Segmented Images using Watershed Approach based on Image Gradient Magnitude and Direction },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 82 },
number = { 6 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 19-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume82/number6/14120-2224/ },
doi = { 10.5120/14120-2224 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:57:04.558577+05:30
%A Dibyendu Ghoshal
%A Pinaki Pratim Acharjya
%T Effect of Various Spatial Sharpening Filters on the Performance of the Segmented Images using Watershed Approach based on Image Gradient Magnitude and Direction
%J International Journal of Computer Applications
%@ 0975-8887
%V 82
%N 6
%P 19-26
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In various spectrum of image processing, images are acquired with low variations in the intensity level and thus they possess small gradient values. In these cases, it is convenient to apply watershed segmentation on the gradient image, rather than the original image. The most common output of these segmented images is over segmentation and it implies the presence of numerous watershed ridges that do not correspond to the object boundaries of interest. Under this intermingled problematic scenario, the role of the spatial edge sharpening filters should not be ignored. This research paper deals with the role of various edge sharpening filters and to find the ultimate effect of them on the output image using watershed algorithm is presented.

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Index Terms

Computer Science
Information Sciences

Keywords

Iimage segmentation spatial sharpening filters watershed algorithm.

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