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

机译:无标度和无参数的图像边缘强度测量

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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.
机译:我们介绍了一系列图像坡度量度,它们是在图像边缘附近最高的无标度量度。它们在每个像素处定义为相对于每个其他像素((向上,向下或双向)强度梯度中最陡的)。我们列出了一些有用的数学属性,例如强度和旋转不变性,并显示了与最大形态膨胀和圆锥体侵蚀的关系。我们通过使用非欧几里得距离或非圆锥形结构函数以及对彩色,多光谱和高维图像的扩展来讨论一般化。我们为快速双递归多分辨率算法提供了详细的伪代码,并给出了典型的算法时序,并直观地演示了应用于标准测试图像的方法。这些算法的参考C代码可在Internet上找到:https://github.com/xomexx/SlopeMeasures。

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