Classifying color edges in video into shadow-geometry, highlight, or material transitions
Classifying color edges in video into shadow-geometry, highlight, or material transitions
复制标题
DOI：
10.1109/tmm.2003.811620
复制
发表时间：
2003-07
期刊：
影响因子：
--
通讯作者：
T. Gevers;H. Stokman
中科院分区：
文献类型：
--
作者：
T. Gevers;H. Stokman
我们的目标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的彩色边缘检测方法。然后，我们给出了颜色边缘类型的分类。结果，获得了无参数的边缘分类器，将颜色转换标记为以下类型之一：1)阴影几何体，2)高亮边缘，3)材料边缘。该方法在显示复杂真实场景的图像上进行了实验验证。
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 labeling color transitions into one of the following types: 1) shadow-geometry, 2) highlight edges, and 3) material edges. The proposed method is empirically verified on images showing complex real world scenes.