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Integrated vector-valued active contour model for image segmentation

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Abstract

In this paper, image segmentation based on an integrated vector-valued active contour model is presented. Consider that each image channel has its signal characteristics, the region-based information uses the hybrid mean intensities simultaneously. Furthermore, by utilizing a two-dimensional vector field with different image channels, which provides different image patterns are used to constrain the results of image segmentation using edge-based information, edge-based information is also used, which extracts the information and uses the nonlinear function to learn the specific segmentation process. With the incorporation of the vector-based region and edge information, the proposed method can deal with multi-channel images effectively. The method is applicable for color images, multiresolution representation from frequency transformation, and multi-modal images, and can effectively overcome the problem that the weak edge of the image cannot converge due to large noise and poor contrast. It can confirm the effectiveness and robustness of the proposed method.

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Acknowledgements

This work was supported by the Natural Science Foundations of China under Grant 61801202.

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Authors and Affiliations

  1. College of Computer and Information Technology, Liaoning Normal University, Dalian City, Liaoning Province, China

    Lingling Fang, Xin Wang & Minqing Zhao

  2. College of Computer Information Engineering, Nanchang Institute of Technology, Nanchang City, Jiangxi Province, China

    Lingling Fang

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  1. Lingling Fang
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  2. Xin Wang
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  3. Minqing Zhao
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Correspondence to Lingling Fang.

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Appendix

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Fig. 11
figure 11

Results of multi-modal image segmentation (the first three columns show R, G, B channel images, respectively; the fourth column shows the segmentation results of the traditional method; the fifth column shows the segmentation results of the proposed method; the sixth column shows the ground truths)

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Cite this article

Fang, L., Wang, X. & Zhao, M. Integrated vector-valued active contour model for image segmentation. SIViP 16, 193–201 (2022). https://doi.org/10.1007/s11760-021-01979-2

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