A Color Image Segmentation Algorithm Based on Hybrid Method*—By Integrating Watershed with Automatic Seeded Region Growing and Merging
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 HSV 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 it is in accord with the human vision segmentation strategy. This algorithm was applied to segment some endoscopic images, the experimental results confirm its effectiveness and efficiency.
文章引用: 徐国雄 , 王海娜 , 胡进贤 , 王立强 , 卜应敏 (2013) 一种基于混合方法的彩色图像分割算法*----结合分水岭算法、种子区域生长和区域合并的混合方法。 计算机科学与应用， 3， 134-138. doi: 10.12677/CSA.2013.32023
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