为了提高图像划痕检测的质量，提出了自适应二叉树算法。采用图像投影确定划痕区域，掩膜操作对图像锐化；图像划痕邻域灰度通过聚类法划分，将结果作为二叉树节点的输入，图像像素值依次分解为8 级二叉树，二叉树指针遍历像素的特征点，自适应阈值将相邻区域划痕合并；给出了算法流程。实验仿真得出自适应二叉树算法能准确地检测划痕位置以及走向，定性检测指标较好。

In order to improve the quality of image scratch detection, adaptive binary tree algorithm is proposed. Scratch area is determined by projection of image, image sharpening is operated on mask. Gray of image scratch in neighborhood is divided using cluster method, the result is used as input node of binary tree, image pixel value is divided into eight stages of binary tree, characteristics of binary tree traverse of the feature pixel, adaptive threshold merge the region of the scratch in neighborthood. Algorithmic process is described. Experimental simulation shows the proposed algorithm can accurately detect the location and direction of the scratch, and is good for qualitative detection index.