Suitability of Digital Elevation Models for Watershed Segmenting Images with Directional Illumination

Tahir Qasim Syed 1 Vincent Vigneron 2 Christophe Montagne 2 Sylvie Lelandais 2
1 National University of Computer and Emerging Sciences
2 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
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.
Keywords : watershed transform digital elevation model partial class memberships fuzzy c-means directional illumination confocal microscopy
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Journal articles
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https://hal.archives-ouvertes.fr/hal-00874891
Contributor : Frédéric Davesne <>
Submitted on : Friday, October 18, 2013 - 6:03:13 PM
Last modification on : Monday, October 28, 2019 - 11:00:21 AM

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Tahir Qasim Syed, Vincent Vigneron, Christophe Montagne, Sylvie Lelandais. Suitability of Digital Elevation Models for Watershed Segmenting Images with Directional Illumination. International Journal of Computer Applications, Foundation of Computer Science, 2013, 78 (12), (elec. proc.). ⟨10.5120/13572-0946⟩. ⟨hal-00874891⟩

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