Recursive opening transform

R. Haralick, Su S. Chen, T. Kanungo
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引用次数: 13

Abstract

The opening transformation on N-dimensional discrete space Z/sup N/ is discussed. The transform efficiently computes the binary opening (closing) with any size structuring element. It also provides a quick way to calculate the pattern spectrum of an image. The pattern spectrum is found to be nothing more than a histogram of the opening transform. An efficient two-pass recursive opening transform algorithm is developed and implemented. The correctness of the algorithm is proved, and some experimental results are given. The results show that the execution time of the algorithm is a linear function of n, where n is the product of the number of points in the structuring element. When the input binary image size is 256*256 and 50% of the image is covered by the binary-one pixels, it takes approximately 250 ms to do an arbitrary sized line opening and approximately 500 ms to do an arbitrary size box opening on the Sun/Sparc II workstation (with C compiler optimization flag on).<>
递归开度变换
讨论了N维离散空间Z/sup N/上的开变换。变换有效地计算任意大小的结构元素的二进制打开(关闭)。它还提供了一种快速计算图像模式谱的方法。发现模式谱只不过是一个打开变换的直方图。提出并实现了一种高效的两遍递归开变换算法。验证了算法的正确性,并给出了一些实验结果。结果表明,该算法的执行时间是n的线性函数,其中n为结构元素中点数的乘积。当输入的二进制图像大小为256*256并且图像的50%被二进制1像素覆盖时,在Sun/Sparc II工作站上打开任意大小的行大约需要250毫秒,打开任意大小的框大约需要500毫秒(带有C编译器优化标志)。
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