摘要
文章提出了一种基于小波分解和亮度矩的复杂背景下,图像中车牌定位和分割的方法。针对小波分解能较好地保留图像中的细节信息,选用小波作为车牌分割工具;为了突出车牌字符与图像中其它信号特征的差异,定义了一个亮度矩函数,用以搜寻牌照的上下、左右边界。仿真结果表明,该方法定位准确率高、速度快。
In this paper,an effective license plate location algorithm is presented which employs wavelet transformation and intensity moment to extract number plate from the complex-background images. By means of the wavelet analysis, the image details can be processed very well,and by defining an intensity moment function to protrude the plate characters from other signals, the locality of the license plate can be determined. The simulation result indicates that the method advanced in this paper is very potent.
出处
《合肥工业大学学报(自然科学版)》
CAS
CSCD
2004年第8期907-910,共4页
Journal of Hefei University of Technology:Natural Science
基金
安徽省自然科学基金资助项目(01042310)
关键词
小波分解
亮度矩
车牌定位
图像分割
wavelet analysis
intensity moment
vehicle license plate location
image segmentation