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基于多尺度形态滤波的分水岭图像分割方法
Watershed Segmentation Based on Multi-Scale Morphological Filtering
【摘要】 采用多尺度形态滤波器对输入噪声图像及滤波后图像的梯度图像进行平滑 ,实现了消除噪声、简化图像、保持物体重要轮廓信息的作用 最后 ,给出一种改进的快速区域合并算法优化分割结果 实验证明 ,采用文中分割方法可以获得很好的分割结果
【Abstract】 Image segmentation based on watershed method always results in over-segmentation, makes the contour of object blurred with irrelevant watershed lines. To alleviate this problem, a robust multi-scale morphological filter is introduced to eliminate the noise and simplify the input image and morphological gradient image while preserving the main contour of object. A modified fast region merging algorithm is also proposed to improve segmentation result. Experiments show that the proposed algorithm is efficient.
【关键词】 分水岭;
形态滤波;
图像分割;
区域合并;
【Key words】 watershed; morphological filtering; image segmentation; region-merging;
【Key words】 watershed; morphological filtering; image segmentation; region-merging;
【基金】 总装备部预研基金 (5 14 170 10 3 0 1DZ0 2 )资助
- 【文献出处】 计算机辅助设计与图形学学报 ,Journal of Computer Aided Design & Computer Graphics , 编辑部邮箱 ,2004年02期
- 【分类号】TP391.4
- 【被引频次】100
- 【下载频次】967