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Abstract
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Article Information:
A Segmentation Method for Uneven Illumination Particle Images
Wang Wen-Cheng and Cui Xiao-Jun
Corresponding Author: Wang Wen-Cheng
Submitted: July 17, 2012
Accepted: August 15, 2012
Published: February 01, 2013 |
Abstract:
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To the question of particle images segmentation with uneven illumination background, a novel method is
proposed based on homomorphic filtering, Top-Hat transformation and watershed algorithm in this study after
discussing the characteristic of various common segmentation algorithms. Firstly, homomorphic filtering is carried
out on particle image frequency region space, which weakened low frequency component and strengthened the high
frequency component appropriately, to make the whole image evenly. Then, Top-Hat transformation is adopted to
remove a large area of the target background and segment the target's active area. Finally, watershed algorithm is
used for segmentation of adhesive particles. Experimental results show that the proposed method is simple and
practical and can segment the targets form uneven illumination particle images.
Key words: Homomorphic filtering, particle image, uneven illumination, watershed, , ,
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Abstract
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Cite this Reference:
Wang Wen-Cheng and Cui Xiao-Jun, . A Segmentation Method for Uneven Illumination Particle Images. Research Journal of Applied Sciences, Engineering and Technology, (04): 1284-1289.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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