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

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 。

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.