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Suitability of Digital Elevation Models for Watershed Segmenting Images with Directional Illumination
by
Tahir Q. Syed,
V. Vigneron,
C. Montagne,
S. Lelandais-bonad
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 78 - Number 12 |
| Year of Publication: 2013 |
| Authors: Tahir Q. Syed, V. Vigneron, C. Montagne, S. Lelandais-bonad |
10.5120/13572-0946
|
Tahir Q. Syed, V. Vigneron, C. Montagne, S. Lelandais-bonad . Suitability of Digital Elevation Models for Watershed Segmenting Images with Directional Illumination. International Journal of Computer Applications. 78, 12 ( September 2013), 1-7. DOI=10.5120/13572-0946
@article{
10.5120/13572-0946,
author = {
Tahir Q. Syed,
V. Vigneron,
C. Montagne,
S. Lelandais-bonad
},
title = { Suitability of Digital Elevation Models for Watershed Segmenting Images with Directional Illumination },
journal = {
International Journal of Computer Applications
},
issue_date = { September 2013 },
volume = { 78 },
number = { 12 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = {
1-7
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume78/number12/13572-0946/
},
doi = { 10.5120/13572-0946 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:51:21.330546+05:30
%A Tahir Q. Syed
%A V. Vigneron
%A C. Montagne
%A S. Lelandais-bonad
%T Suitability of Digital Elevation Models for Watershed Segmenting Images with Directional Illumination
%J International Journal of Computer Applications
%@ 0975-8887
%V 78
%N 12
%P 1-7
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This paper investigates the use of different functions for the digital elevation model input to the watershed transform. The use of gradient information is the most frequent one, but its strength varies due to illumination variations. We investigate the two major classes of input functions, distance maps and the gradient, their combinations, and propose an different function using soft clustering memberships that is not covariant with illumination.
References
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Index Terms
Computer Science
Information Sciences
Keywords