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    Abstract
2013 (Vol. 5, Issue: 04)
Article Information:

A Segmentation Method for Uneven Illumination Particle Images

Wang Wen-Cheng and Cui Xiao-Jun
Corresponding Author:  Wang Wen-Cheng 

Key words:  Homomorphic filtering, particle image, uneven illumination, watershed, , ,
Vol. 5 , (04): 1284-1289
Submitted Accepted Published
July 17, 2012 August 15, 2012 February 01, 2013
Abstract:

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.
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  Cite this Reference:
Wang Wen-Cheng and Cui Xiao-Jun, 2013. A Segmentation Method for Uneven Illumination Particle Images.  Research Journal of Applied Sciences, Engineering and Technology, 5(04): 1284-1289.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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