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Fast Binary Dilation/Erosion Algorithm Using Reference Points

机译:使用参考点的快速二元扩张/侵蚀算法

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A new method of fast binary image dilation/erosion operation called RPI is proposed in this paper. Without the regularity of structure elements or pixel processing sequence, dilation/erosion operation can be carried out by looking up a precomputed increments table with this algorithm. The definition of reference points set and coding method for fast looking up the combination status, including its algorithm framework, are given. Compared with KSD algorithm, the average performance of RPI algorithm is a little h. However, RPI algorithm becomes more effective in the worst case and is more suitable for real-time image processing.
机译:本文提出了一种新的快速二元图像扩张/侵蚀操作的方法。在没有结构元素或像素处理序列的规律性,可以通过使用该算法查找预先计算的增量表来执行扩展/侵蚀操作。给出了参考点集的定义和快速查找组合状态的编码方法,包括其算法框架。与KSD算法相比,RPI算法的平均性能是一点H.然而,RPI算法在最坏情况下变得更有效,并且更适合于实时图像处理。

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