基于映射色差的颜色分类表面检测方法研究

Surface Inspection Based on Color Clustering of Mapping Chromatism

  • 摘要: 针对人类视觉和颜色分类检测问题,提出一种映射色差的颜色距离度量新定义. 该映射色差满足距离度量的3个公理条件,并且以两幅图像均值向量之间的<em<L</em<<sub<2</sub<距离为下界;以映射色差为基础设计了一种表面颜色分类检测新方法,在CIE 1976 <em<L<sup<*</sup<a<sup<*</sup<b<sup<*</sup<</em<空间用距离加权重心切分提取主色调,并以上述映射色差距离设计最小距离分类器实现表面检测. 实验中对人民币和瓷砖产品表面质量进行自动检测,其检测结果和人的

     

    Abstract: This paper defines a new measure of color difference, mapping chromatism, aiming to solve color clustering problems. The measure satisfies three conditions of distance axiom. Based on the measure lower bounded by <em<L</em<<sub<2</sub< distance between one inspected image and the reference image, a new surface inspection of color clustering is proposed. The inspection extracts dominant colors using radius weighted method in CIE 1976 <em<L<sup<*</sup<a<sup<*</sup<b</em< space and clusters the dominant colors to realize surface inspection by minimized distance principle based on mapping chromatism. Experiments performed auto inspection to RMB bills and tiles of surface quality and obtained good results consistent with HVS.

     

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