说明：  提出基于拉普拉斯高斯（Laplacian of Gaussian，LoG）算子边缘检测的全局二值化方法对其进行处理，该方法通过提取图像边缘部份的像素灰度获得图像二值化的阈值。处理结果表明，与传统的几种方法相比，该方法能够快速选取良好的二值化阈值，较好地区分目标和背景，在相当大模板宽度内图像二值化的结果都令人满意。
(Is put forward based on the Laplacian of Gaussian (LoG) Laplacian of Gaussian, operator edge detection of global binarization method carries on the processing, the method by extracting image edge part of the pixel gray image binarization threshold. Processing results show that compared with traditional methods, this method can quickly good threshold binarization, better distinguish between target and background, to a great template within the width of the image binarization results are satisfactory.)