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Edge detection of color images using directional operators

机译:使用方向算子对彩色图像进行边缘检测

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This paper discusses an approach for detecting edges in color images. A color image is represented by a vector field, and the color image edges are detected as differences in the local vector statistics. These statistical differences can include local variations in color or spatial image properties. The proposed approach can easily accommodate concepts, such as multiscale edge detection, as well as the latest developments in vector order statistics for color image processing. A distinction between the proposed approach and previous approaches for color edge detection using vector order statistics is that, besides the edge magnitude, the local edge direction is also provided. Note that edge direction information is a relevant feature to a variety of image analysis tasks (e.g., texture analysis).
机译:本文讨论了一种检测彩色图像边缘的方法。彩色图像由矢量场表示,并且彩色图像边缘被检测为局部矢量统计中的差异。这些统计差异可能包括颜色或空间图像属性的局部变化。所提出的方法可以轻松适应各种概念,例如多尺度边缘检测以及彩色图像处理的矢量顺序统计的最新发展。所提出的方法与使用矢量阶数统计进行彩色边缘检测的先前方法之间的区别在于,除了边缘幅度之外,还提供了局部边缘方向。注意,边缘方向信息是各种图像分析任务(例如,纹理分析)的相关特征。

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