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Double regularization control based on level set evolution for tablet packaging image segmentation

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Abstract

This paper proposes a novel double regularization control (DRC) method which is used for tablet packaging image segmentation. Since the intensities of tablet packaging images are inhomogenous, it is difficult to make image segmentation. Compared to methods based on level set, the proposed DRC method has some advantages for tablet packaging image segmentation. The local regional control term and the rectangle initialization contour are first employed in this method to quickly segment uneven grayscale images and accelerate the curve evolution rate. Gaussian filter operator and the convolution calculation are then adopted to remove the effects of texture noises in image segmentation. The developed penalty energy function, as regularization term, increases the constrained conditions based on the gradient flow conditions. Since the potential function is embedded into the level set of evolution equations and the image contour evolutions are bilaterally extended, the proposed method further improves the accuracy of image contours. Experimental studies show that the DRC method greatly improves the computational efficiency and numerical accuracy, and achieves better results for image contour segmentation compared to other level set methods.

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Acknowledgments

The authors would like to thank the Science and Technology Commission of Shanghai Municipality (Grant No.14YF1408600), the Shanghai Municipal Commission of Economy and Informatization under Shanghai Industry University Research Collaboration (Grant No.CXY-2013-71), the Natural Science Foundation of Shandong Province (Grant No.ZR2012FM008), the Science and Technology Development Program of Shandong Province (Grant No.2013GNC11012), and the National Natural Science Foundation of China (Grant No.61100115).

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Authors and Affiliations

  1. Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200072, People’s Republic of China

    Li Liu, Ao-Lei Yang, Xiao-Wei Tu & Min-Rui Fei

  2. School of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, UK

    Wen-Ju Zhou

  3. School of Information Science and Electrical Engineering, Ludong University, Yantai, 264025, People’s Republic of China

    Li Liu, Wen-Ju Zhou & Jun Yue

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  1. Li Liu
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  2. Ao-Lei Yang
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  3. Xiao-Wei Tu
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  4. Wen-Ju Zhou
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  5. Min-Rui Fei
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  6. Jun Yue
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Correspondence to Ao-Lei Yang.

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Liu, L., Yang, AL., Tu, XW. et al. Double regularization control based on level set evolution for tablet packaging image segmentation. Adv. Manuf. 3, 73–83 (2015). https://doi.org/10.1007/s40436-015-0105-6

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  • DOI: https://doi.org/10.1007/s40436-015-0105-6

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