路面图像中常常存在车辆、树木、建筑物等的阴影，给图像的特征抽取和识别带来极大的干扰。通过分析中心/环绕Retinex算法(center/surround Retinex，CSR)以及现有的基于Retinex的阴影消除算法处理阴影图像的不足，提出了一种各向异性中心/环绕Retinex算法(anisotropic diffusion center/surround Retinex， ADCSR)，该算法融入了基于偏微分方程(PDE)的各向异性扩散，并根据算法特点提出了基于“边界性”(edge degree，ED)的各向异性扩散方案，避免了梯度门限等参数选择的困难，在消除阴影的效果上和运算效率上都取得了令人满意的结果。

There are sometimes shadows, such as cars、trees and buildings ,on road surface images, which make it difficult to abstract and recognize the features. After analyzing the shortages of Center/Surround Retinex(CSR) algorithm and shadow removal approaches based on Retinex in existence, an Anisotropic Diffusion Center/Surround Retinex(ADCSR) is presented to solve the problem. First anisotropic diffusion based on PDE is introduced to ADCSR, further a new anisotropic diffusion scheme based on “Edge Degree”(ED) is presented, which avoids the embarrassment to select different parameters such as gradient threshold. Theoretic analysis and experimental results show that the effectiveness of the approach.