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Unified denoizing and segmentation algorithm for ink-jet printing images based on fuzzy optimization technology

[+] Author Affiliations
Zhilin Feng

Zhejiang University of Technology, Department of Information and Engineering, College of Zhijiang, Hangzhou 310024, China

Jianwei Yin

Zhejiang University, Department of Computer Engineering, College of Computer Science and Technology, Hangzhou 310027, China

Naixue Xiong

Georgia State University, Department of Computer Science, Atlanta, Georgia 30302-3994

J. Electron. Imaging. 21(3), 033025 (Sep 25, 2012). doi:10.1117/1.JEI.21.3.033025
History: Received December 16, 2010; Revised July 26, 2012; Accepted August 8, 2012
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Abstract.  Simultaneous denoizing and segmentation of ink-jet printing images are challenging tasks for ink-jet printing pattern analysis. Thus, a unified denoizing-segmentation algorithm is proposed for ink-jet printing images. The energy functional for the proposed algorithm consists of three terms: the Beltrami flow, the phase field, and the shape prior. The Beltrami flow is used to enhance image features while preserving natural fine structures and the phase field model is introduced to extract specific pattern structures within ink-jet printing images. The shape prior term for the deformable framework through a nonlinear energy representation is designed to attract different shapes towards the Beltrami flow and the phase field at given directions. A fuzzy optimization method, called multi-start fuzzy optimization method (MSFOM), is also proposed to numerically solve the unified denoizing-segmentation model. MSFOM is a hybrid algorithm, combining fuzzy logic and genetic optimization, which is able to find the suboptimal global minimum with a low computational cost. Experimental results demonstrate that the proposed algorithm is better than the existing schemes, and it offers effective noise removal in noisy ink-jet printing images while maintaining fine structures of patterns.

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Topics

Printing ; Algorithms

Citation

Zhilin Feng ; Jianwei Yin and Naixue Xiong
"Unified denoizing and segmentation algorithm for ink-jet printing images based on fuzzy optimization technology", J. Electron. Imaging. 21(3), 033025 (Sep 25, 2012). ; http://dx.doi.org/10.1117/1.JEI.21.3.033025


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