Wear Particles Image Segmentation Method Based on Multiscale Mathematical Morphology

Guo De Wang; Pei Lin Zhang; Bing Li; Chao Xu; An Cheng Zhang

doi:10.4028/www.scientific.net/AMM.44-47.3169

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 44-47Wear Particles Image Segmentation Method Based on...

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.

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Periodical:

Applied Mechanics and Materials (Volumes 44-47)

Pages:

3169-3173

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.44-47.3169

Citation:

Cite this paper

Online since:

December 2010

Authors:

Guo De Wang, Pei Lin Zhang, Bing Li, Chao Xu, An Cheng Zhang

Keywords:

Image Segmentation, Multiscale Mathematical Morphology, Wear Particle

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