The author presents an adaptive rank-order filtering approach for developing a variety of image enhancement operators. The main idea is to choose a rank N(1>or=N>or=U=number of pixels in the processing window) depends on the local degree of match between the image data and an ideal model of the unimpaired grey value function. The aim is to develop filters that selectively act as maximum operators for the useful signal and as minimum operators for the noise. These perform better in many cases than median filters and can be used for both grey-tone and binary images. Fixed-rank filters can also be advantageously applied to binary images. They can be considered as generalizations of the well-known erosion, dilation, opening and closing operators of the mathematical morphology.
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机译：作者提出了用于开发各种图像增强算子的自适应秩序滤波方法。主要思想是根据图像数据与无损灰度值函数的理想模型之间的局部匹配程度来选择等级N（1>或= N>或= U =处理窗口中的像素数）。目的是开发滤波器，选择性地充当有用信号的最大运算符，并充当噪声的最小运算符。在许多情况下，它们的性能要比中值滤波器好，并且可用于灰度图像和二进制图像。固定秩滤波器也可以有利地应用于二进制图像。可以将它们视为数学形态的众所周知的腐蚀，膨胀，开闭算子的推广。
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