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

A Color Image Segmentation Algorithm Based on Hybrid Method*—By Integrating Watershed with Automatic Seeded Region Growing and Merging

摘要: 本文提出一种新的结合分水岭与种子区域生成、区域合并的彩色图像分割算法。首先将RGB颜色空间转换成HSI间，应用分水岭算法对图像进行初始化分割，形成过分割效果。接着基于分水岭算法得到的分割结果，利用颜色空间的像素与其领域的颜色差异及相对欧式距离自动选出一些区域作为种子区域进行自动种子生长算法。为了克服过分割的不良效果，该方法充分利用了分水岭算法和区域合并算法的各自优势。利用提出的算法对多幅图像进行实验，结果证明此算法有较好的分割效果。

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.