Paper Title:
Wear Particles Image Segmentation Method Based on Multiscale Mathematical Morphology
  Abstract

Image segmentation plays an important role in wear particles analysis. A new segmentation method based on multiscale mathematical morphology is proposed for wear particles image segmentation. The newly introduced method employs different scale structuring elements to detect the image edge, the final edge is calculated by the weighted average method. Edge details can be remained by small scale structuring element (SE) and noise can be depressed effectively by large scale SE, therefore, the new method has great effect in edge accuracy, strong and weak edge extraction and noise suppression. The efficiency of the method is evaluated by a set of wear particles images. The comparison with the single scale SE and other traditional methods demonstrates the improvement of the new algorithm.

  Info
Periodical
Edited by
Ran Chen
Pages
3169-3173
DOI
10.4028/www.scientific.net/AMM.44-47.3169
Citation
G. D. Wang, P. L. Zhang, B. Li, C. Xu, A. C. Zhang, "Wear Particles Image Segmentation Method Based on Multiscale Mathematical Morphology", Applied Mechanics and Materials, Vols. 44-47, pp. 3169-3173, 2011
Online since
December 2010
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