A Scale-Free and Parameter-Free Image Edge Strength Measure

Guy Smith, P. Jackway
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Abstract

We present a family of image Slope Measures which are scale-free measures that are highest near image edges. They are defined at each pixel as the steepest of the (up, down, or bi-directional) intensity slopes to every other pixel. We list some useful mathematical properties such as intensity and rotation invariances and show a relationship to the maximal morphological dilations and erosions by cones. We discuss generalisations by using non-Euclidean distances or non-conical structuring functions, and extensions to colour, multi-spectral and higher-dimensional images. We present detailed pseudo-code for a fast doubly-recursive multi-resolution algorithm and give typical algorithm timings and visually demonstrate the measure as applied to standard test images. Reference C code for these algorithms is available on the internet at: https://github.com/xomexx/SlopeMeasures.
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一种无尺度、无参数的图像边缘强度测量方法
我们提出了一组图像斜率测度,它们是图像边缘附近最高的无尺度测度。它们在每个像素上被定义为每一个其他像素的最陡(向上、向下或双向)强度斜率。我们列出了一些有用的数学性质,如强度和旋转不变性,并显示了锥的最大形态扩张和侵蚀的关系。我们通过使用非欧几里得距离或非圆锥结构函数来讨论泛化,并扩展到彩色,多光谱和高维图像。我们给出了一种快速双递归多分辨率算法的详细伪代码,给出了典型的算法时序,并直观地演示了该方法在标准测试图像上的应用。这些算法的参考C代码可以在互联网上找到:https://github.com/xomexx/SlopeMeasures。
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