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基于物理模型的彩色图像理解算法

黄玉明,徐光佑,叶培建   

  1. 北京控制工程研究所 ,清华大学 ,中国空间技术研究院 北京
  • 发布日期:1992-06-25

A PHYSICAL APPROACH TO COLOR IMAGE UNDERSTANDING

Huang Yuming (Beijing Institute of Control Engineering)Xu Guangyou (Qing Hua University)Ye Peijian (CAST)   

  • Published:1992-06-25

摘要: 给出一个彩色图像理解算法。算法首先对图像上的颜色变化(由光照和物体颜色引起)进行分析与综合,然后分割图像。算法的基础是二色反射模型理论,该理论认为反射光的颜色是界面反射(高光颜色)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像中物体区域的确定为前提。算法按照假设检验的策略,依据图像中的连通性和颜色空间中聚类的特征,完成彩色图像的分割,并产生对景物中所发生的光学过程的物理描述。

关键词: 二色反射模型, 图像分解, 彩色分解, 算法

Abstract: We present an algorithm of color image understanding whichsegments the image after analyzing surfaces with color variations due tolighting condition and object colors. The work is based on a theory——theDichromatic Reflection Model——which describes the color of the reflectedlight as a linear combination of light from surface reflection (highlight)and body reflection (object color).A peculiar cluster shape (skewed T) isformed by color pixels of an object area in 3D histogram in color space.The analysis of cluster's property helps to determine the color of lightand objects,but at same time the meaningful cluster is generated by theprojection of certain object area of image. According to the strategy ofhypothesis and test,following the continuity of the image and the featureof color clusters,the algorithm completes the image segmentation and givesforth the physical description of imaging process,including intrinsicimages,segmented image,the color of light and objects. The intrinsicimages are composed of both matte image and highlight image reflectingrespectively the properties of light condition and every objects.

Key words: Dichromatic reflection model, Image dissection, Color analysis, Algorithnl