基于数学形态学的图像分割研究及应用

给出了一种基于图像灰度分布统计特征期望值为阈值的二值化方法．并在此基础上运用数学形态学方法进行图像目标定位分割。应用于有噪声的车牌图像二值化和分割、实验表明本文提出的二值化算法的计算复杂度．执行时间、二值化效果以及适用范围等方面均有较佳表现．形态学分割算法定位效果好、分割精度高。

Research and application on segmentation method of image based on mathematical morphology

In this paper, a method of binary based on the threshold of the calculated character expectation value of the image's grey degree distributing is proposed. The segmentation of image object is presented based on mathematical morphology method. Applied to binary and segmentation in vehicle license plate image with noise, the experiment indicated that it had good behaving on calculate complication-executing time-binary effect and applying rang, The morphology segmentation arithmetic had high segmentation precision and good effect on lining out.