UvA-DARE (Digital Academic Repository) Color invariant edge detection
UvA-DARE (Digital Academic Repository) Color invariant edge detection
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UvA-DARE（数字学术知识库）颜色不变边缘检测
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
H. Geerts
中科院分区：
文献类型：
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作者：
J. Geusebroek;A. Dev;R. V. D. Boomgaard;A. Smeulders;F. Cornelissen;H. Geerts
。基于颜色的分割，而不是仅基于强度的分割，在实现对不相关参数(如照明源、阴影、几何图形和相机灵敏度)的稳健性的条件下，可以更容易地区分材质。通过对成像的物理过程进行建模，可以深入了解不同参数对物体颜色的影响。本文提出了一种基于色差几何的材料边缘检测方法，该方法不受光照、颜色和成像条件的影响。通过一些实际例子说明了颜色不变量的性能，表明颜色不变量在阴影边缘和光照颜色的折扣方面是成功的。
. Segmentation based on color, instead of intensity only, provides an easier distinction between materials, on the condition that robustness against irrelevant parameters is achieved, such as illumination source, shadows, geometry and camera sensitivities. Modeling the physical process of the image formation provides insight into the efiect of difierent parameters on object color. In this paper, a color difierential geometry approach is used to detect material edges, invariant with respect to illumination color and imaging conditions. The performance of the color invariants is demonstrated by some real-world examples, showing the invariants to be successful in discounting shadow edges and illumination color.