A PHYSICAL APPROACH TO COLOR IMAGE UNDERSTANDING
A PHYSICAL APPROACH TO COLOR IMAGE UNDERSTANDING
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DOI：
10.1007/bf00137441
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发表时间：
1990-01-01
影响因子：
19.5
通讯作者：
KANADE, T
中科院分区：
文献类型：
--
作者：
KLINKER, GJ;SHAFER, SA;KANADE, T
在本文中，我们提出了一种彩色图像理解方法，可用于分割和分析由于高光和阴影而产生颜色变化的表面。这项工作基于二色反射模型理论，该模型将反射光的颜色描述为表面反射（高光）和身体反射（物体颜色）的光的混合。过去，我们已经展示了如何使用二色理论将彩色图像分离为两个本征反射图像：仅包含高光的图像和去除高光的原始图像。当时，该算法只能应用于手工分割的图像。本文展示了如何使用相同的反射模型将彩色图像分割纳入图像分析中。结果是一个彩色图像理解系统，能够生成场景中发生的反射过程的物理描述。此类描述包括本征反射图像、图像分割以及有关对象和突出显示颜色的符号信息。这一系列研究可以带来基于物理的图像理解方法，这些方法比传统方法更可靠、更有用。
In this paper, we present an approach to color image understanding that can be used to segment and analyze surfaces with color variations due to highlights and shading. The work is based on a theory—the Dichromatic Reflection Model—which describes the color of the reflected light as a mixture of light from surface reflection (highlights) and body reflection (object color). In the past, we have shown how the dichromatic theory can be used to separate a color image into two intrinsic reflection images: an image of just the highlights, and the original image with the highlights removed. At that time, the algorithm could only be applied to hand-segmented images. This paper shows how the same reflection model can be used to include color image segmentation into the image analysis. The result is a color image understanding system, capable of generating physical descriptions of the reflection processes occurring in the scene. Such descriptions include the intrinsic reflection images, an image segmentation, and symbolic information about the object and highlight colors. This line of research can lead to physicsbased image understanding methods that are both more reliable and more useful than traditional methods.