引用本文: 黄玉明, 徐光祐, 叶培建. 基于物理模型的彩色图象理解算法[J]. 机器人, 1991, 13(6): 1-9.
HUANG Yuming, XU Guangyou, YE Peijian. A PHYSICAL APPROACH TO COLOR IMAGE UNDERSTANDING[J]. ROBOT, 1991, 13(6): 1-9.
 Citation: HUANG Yuming, XU Guangyou, YE Peijian. A PHYSICAL APPROACH TO COLOR IMAGE UNDERSTANDING[J]. ROBOT, 1991, 13(6): 1-9.

## A PHYSICAL APPROACH TO COLOR IMAGE UNDERSTANDING

• 摘要: 本文给出一个彩色图象理解算法．算法首先对图象上的颜色变化（由光照和物体颜色引起）进行分析与综合，然后分割图象．算法的基础是双色反射模型理论，理论认为反射光的颜色是界面反射（耀斑颜色）和本体反射（物体颜色）的线性组合，这两种反射光在颜色空间的三维直方图中形成特定的聚类（点簇）．因此分析聚类的性质可帮助确定光照和物体的颜色，但是有意义的聚类的生成又以图象中物体区域的确定为前提．算法按照假设检验的策略，依据图象中的连通性和颜色空间中聚类的特征，完成彩色图象的分割，并产生对景物中所发生的光学过程的物理描述．该描述包括本征反射图象，分割图象，物体和光照颜色的符号描述．本征反射图象包括只反映界面反射的耀斑图象和从原图象中去除耀斑影响后的本体图象．

Abstract: We present an algorithm of color image understanding which segments the image after analyzing sur-faces with color variations due to lighting condition and object colors. The work is based on dichromaticreflection model according to the strategy of hypothesis plus test, following the continuity of image and thefeature of color clusters, the algorithm completes the image segmentation and gives forth a physical des-cription of imaging process, including intrinsic images, segmented image, the color of light and objects. Re-flecting respectively the propertics of light condition and every objects, both matte image and highlight im-age compose the intrinsic images.

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