SCALE-SPACE AND EDGE-DETECTION USING ANISOTROPIC DIFFUSION
SCALE-SPACE AND EDGE-DETECTION USING ANISOTROPIC DIFFUSION
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DOI：
10.1109/34.56205
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发表时间：
1990-07-01
影响因子：
23.6
通讯作者：
MALIK, J
中科院分区：
文献类型：
--
作者：
PERONA, P;MALIK, J
提出了尺度空间的新定义，并介绍了一类用于实现扩散过程的算法。选择扩散系数在空间上变化，以鼓励区域内平滑而不是区域间平滑。结果表明，保留了常规尺度空间的“在粗尺度上不应生成新的最大值”的性质。由于该方法中的区域边界保持清晰，因此获得了成功利用全局信息的高质量边缘检测器。实验结果显示在许多图像上。并行硬件实现变得可行，因为该算法涉及在图像上复制的基本局部操作。<>
A new definition of scale-space is suggested, and a class of algorithms used to realize a diffusion process is introduced. The diffusion coefficient is chosen to vary spatially in such a way as to encourage intraregion smoothing rather than interregion smoothing. It is shown that the 'no new maxima should be generated at coarse scales' property of conventional scale space is preserved. As the region boundaries in the approach remain sharp, a high-quality edge detector which successfully exploits global information is obtained. Experimental results are shown on a number of images. Parallel hardware implementations are made feasible because the algorithm involves elementary, local operations replicated over the image.<>