A nighttime vehicle license Character segmentation algorithm

摘要：

　　Chan-Vese model often leads to poor segmentation results for images with intensity inhomogeneity.Aiming at the gray uneven distribution in the night vehicle images,a new local Chan-Vese (LCV) model is proposed for image segmentation.The energy functional for the proposed model consists of three terms,i.e.,global term,local term and regularization tenn.By incorporating the local image information into the proposed model,the images with intensity inhomogeneity can be efficiently segmented.Finally,experiments on nighttime plate images have demonstrated that our model can segment the nighttime plate images efficently.Moreover,comparisons with recent popular local binary fitting (LBF) model also show that our LCV model can segment images with few iteration times.

关键词： license character segmentation CV model intensity inhomogeneity LBF

作者: Shangbing Gao Dong Jin

作者单位: The School Computer Engineering, Huaiyin Institute of Technology, Huaian, P.R.China The School Computer Encineering, Jiangsu Food Science College, Huaian, P.R.China

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 1583-1587

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）