28 November 2011 A color image segmentation algorithm by integrating watershed with automatic seeded region growing and merging
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Proceedings Volume 8200, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 820018 (2011) https://doi.org/10.1117/12.904877
Event: International Conference on Optical Instruments and Technology (OIT2011), 2011, Beijing, Beijing, China
Abstract
A color image segmentation algorithm which integrates watershed with automatic seeded region growing and merging is proposed in the paper. Firstly, the image was transformed from RGB color space to HSI space. Next, watershed algorithm was applied to the image to obtain initial segmentation effect. And then, Based on the results of watershed segmentation, some regions in the image were selected as seeded regions automatically for seeds growth algorithm by making use of color differences and relative Euclidean distance. Finally, a region combining algorithm was executed to avoid excessive segmentation. The proposed method combines the advantages of watershed and region growing approach, and in accord with the human vision segmentation strategy. This algorithm was applied to segment some images, the experimental results confirm its effectiveness and efficiency.
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Guoxiong Xu, Yingmin Bu, Liqiang Wang, "A color image segmentation algorithm by integrating watershed with automatic seeded region growing and merging", Proc. SPIE 8200, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 820018 (28 November 2011); doi: 10.1117/12.904877; https://doi.org/10.1117/12.904877
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