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本代码实现了形态学细化。
特点:中间过程可以存储在输入中,因此节省存储空间;并且附有注解,便于理解;附有参考文献,有算法描述。This function implements the morphology thinning. Input pSrc is a float matrix in the range of [0, 1].
It supports in-place operation.Ref: Z. Guo and R. W. Hall, \"Parallel Thinning w
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快速并行算法是经典算法中比较好的一种细化算法,但其存在固有缺陷,可能产生信息丢失。为了克服这个缺点,提出了重合算法,最后为了减少计算时间和冗余信息,提出了基于模板保留的算法。-Fast parallel algorithm for the classical algorithm is a good thinning algorithm, but its inherent defects, the potential loss of information. In order to overcom
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二值影像之骨架化程式(Thining)
程式是實作T.Y Zhang and C.Y Sueny在1984所提出的
"A fast parallel Algorithm for thinning Digital Patterns"的演算法-Binary image of the skeleton program (Thining) program is the implementation TY Zhang and CY Sueny made in 1984, " A fa
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图像细化算法的重要方法 一种并行细化算法-An important method of image thinning algorithm is a parallel thinning algorithm
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一种优化的快速并行细化算法,对字符的细化效果较好-A fast parallel thinning algorithm optimization, the character refinement effect is better
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Rosenfeld细化算法是一种并行细化算法,所得的骨架形态是8-连接的,使用于0-1二值图像。(Rosenfeld thinning algorithm is a parallel thinning algorithm. The skeleton shape obtained is 8-connected and used in 0-1 binary image.)
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