基于反射率的彩色边缘分类

T. Gevers
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引用次数: 10

摘要

我们的目的是利用颜色信息对视频中边缘的物理性质进行分类。为了实现基于物理的边缘分类,我们首先提出了一种基于传感器噪声分析的自动噪声自适应阈值检测颜色边缘的新方法。然后,我们提出了一种颜色边缘类型的分类方法。因此,通过将颜色过渡标记为以下类型之一,可以获得无参数边缘分类器:(1)阴影几何,(2)高光边缘,(3)材料边缘。该方法在复杂的真实场景图像上得到了经验验证。
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Reflectance-based classification of color edges
We aim at using color information to classify the physical nature of edges in video. To achieve physics-based edge classification, we first propose a novel approach to color edge detection by automatic noise-adaptive thresholding derived from sensor noise analysis. Then, we present a taxonomy on color edge types. As a result, a parameter-free edge classifier is obtained by labeling color transitions into one of the following types: (1) shadow-geometry, (2) highlight edges, (3) material edges. The proposed method is empirically verified on images showing complex real world scenes.
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