• 图形图像处理(Graphics and image processi • 上一篇 下一篇
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摘要： 针对医学图像形态建模过程易产生过分割的问题，提出了一种基于各向异性扩散的分水岭分割算法。该算法首先对原始图像进行自适应各向异性扩散滤波，然后引入多尺度的形态梯度图像作为分水岭变换的参考图像，以突出图像中物体的边界轮廓，平滑具有均匀亮度的区域。最后，定义基于边界平均灰度和面积的区域合并准则，对分割后的区域进一步合并。实验结果表明，该算法能有效抑制过分割，具有较强的抗噪声性能，得到的分割结果可以满足医学图像建模的需要。
