Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
531899 | Pattern Recognition | 2007 | 13 Pages |
Abstract
The present paper describes a new algorithm to calculate the watershed transform through rain simulation of greyscale digital images by means of pixel arrowing. The efficiency of this method is based on limiting the necessary neighbouring operations to compute the transform to the outmost, and in the total number of scannings performed over the whole image. The experiments demonstrate that the proposed algorithm is able to significantly reduce the running time of the fastest known algorithm without involving any loss of efficiency.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Víctor Osma-Ruiz, Juan I. Godino-Llorente, Nicolás Sáenz-Lechón, Pedro Gómez-Vilda,