针对照度不均匀的图像提出了一种基于边缘信息构造阈值图像的分割算法。该算法着眼图像上目标、背景及照度在空间分布的连续性，利用边缘处梯度大、阈值容易确定的特点，以其边缘邻域中的极大值和极小值的均值作为该边缘处的阈值，然后以稀疏的边缘阈值为控制点，通过曲面拟合得到全图分布的阈值图像再对图像进行分割。该算法分割效果好，边缘吻合度高于其他典型算法，且抗模糊能力强，有利于平滑去噪，克服了基于边缘方法易受噪声影响的弱点。

Directed against uneven illumination of image，this paper proposes a threshold image segmentation algorithm based on edge detection.According to this method，the continuity of spatial distribution of the objects，background and the illumination has been considered to determine the threshold by using the information of the edges gradient.Then，the average of the maximum and minimum value near the edge detected by edge detection algorithm is used as the local threshold for the pixels on the edge.Using surface fitting，the threshold surface is constructed by the edge-threshold control points for image segmentation.The experimental result shows that the algorithm is efficient，and its Edge-Border Coincidence is higher than other typical algorithm.The ability of Anti-fuzzy of this algorithm is stronger and it has overcome the weakness of the edge-based method which is easy impacted by noise.