基于数学形态学图像分割方法研究.doc

基于数学形态学的图像分割方法研究 专业：班级：200级班姓名：目 录 引言3 1 图像分割基本理论7 1.1 图像分割的概念7 1.2 传统的图像分割方法9 1.3 特殊理论工具的图像分割方法 12 1.4 图像分割的评价 13 2 数学形态学基本理论 16 2.1 形态学的概念 16 2.2 结构元素的选取 16 2.3 二值形态学理论 18 2.4 灰值形态学理论 20 2.5 形态学重建 21 2.6 形态学边缘检测 22 3 Matlab在图像分割处理中的应用 24 3.1 Matlab简介 24 3.2 Matlab在图像处理方面的应用 24 3.3 基于Matlab的图像分割 26 4 车牌图像分割的相关理论研究 28 4.1 车牌定位算法简介 28 4.2 车牌的字符图像分割 37 5 基于数学形态学车牌图像分割 42 5.1 形态学车牌定位 42 5.2 形态学字符图像分割 53 5.3 本章小结 61 结论 致谢 63 参考文献 64 附录1 源程序清单 68 摘 要 关键词： ； ； ； Abstract In this paper,the license plate location algorithm and the license plate character segmentation algorithm based on morphological method are studied systematically. The research of these two algorithm is an important part of intelligence traffic and serves for the first step of license plate recognition. In license plate location, an algorithm based on two-valued area morphology is presented.Firstly,the gray image of license plate is binary.then the areas of candidate registration is narrowed gradually,the area of regional connectivity is calculated. According to the actual situation of license plate determines the area thresholding,and use morphology method processing license plate image, achieve accurate positioning. The simulation results show the algorithm has a high positioning accuracy and adapts to the complex weather and environment, can achieve satisfactory results.In character segmentation algorithm, the projection algorithm is improve and combined with mathematical morphology segmentation algorithm. Firstly the license plate is binary, then mathematical morphology segmentation algorithm is combined with horizontal and vertical projection segmentation method, to determine the license plate character width and the height, and calibrate its location through two times projection.The license plate angle is calibrated, license plate frame are removed,the upper and lower boundaries and the center of licence plate