计算机应用研究2011，Vol.28Issue(11)：4392-4393,4397,3.DOI:10.3969/j.issn.1001-3695.2011.11.107
基于形态学和梯度重构的车牌图像分割方法
Method for license plate segmentation based on morphological and gradient reconstruct
摘要
Abstract
This paper proposed a method for fast license plate localization based on multi-scale morphological gradient optimization and gradient reconstruct. Considering the idea of muilt-scale, this method employed different sizes of structure elements to reconstruct morphological gradient image. Firstly,employed open and close operations to reconstruct gradient image. Secondly, extracted the minimal marker regional from each gradient image by optimizing thresholds and modified the reconstructed gradient image. Thirdly, performed the watershed transformation of the marker modified gradient image to achieve the regional segmentation of the image. Finally, marked the plate candidate regions and used the geometric properties ( aspect ratio, rectangular area,etc. ) to remove a false license to get a real license. Experimental results show that this method can achieve effectively segmentation.关键词
形态学/梯度重构/图像分割/车牌Key words
mathematical morphology/ gradient reconstruct/ image segmentation/ car license plate分类
信息技术与安全科学引用本文复制引用
郭亚,黄艳国,许伦辉..基于形态学和梯度重构的车牌图像分割方法[J].计算机应用研究,2011,28(11):4392-4393,4397,3.基金项目
江西省教育厅科技资助项目(GJJ10481) （GJJ10481）
江西理工大学科研基金计划项目(jxxj-11035) （jxxj-11035）
