同济大学学报（自然科学版）2011，Vol.39Issue(1)：79-84,6.DOI:10.3969/j.issn.0253-374x.2011.01.015
改进的路面图像背景校正算法
Modified Background Correction Algorithms for Pavement Images
李莉 1孙立军 1陈长1
作者信息
- 1. 同济大学,道路与交通工程教育部重点实验室,上海,201804
- 折叠
摘要
Abstract
Pavement images through charge coupled device (CCD) cameras always go with nonuniform background illumination, therefore, the paper presents an improved typical methods for background correction, including modified Cheng' s method and two modified average background methods,background subtraction and correction coefficient method.The methods mentioned are applied to real pavement distress images and the results show that modified Cheng's method has advantage in simplified calculation and can be applied to any pavement image.Moreover, background subtraction has stronger ability to eliminate background noise compared to the correction coefficient method, but images corrected by correction coefficient method are more suitable to the observation of human eye.Besides, the result of segmentation after background correction shows that Ostu method can provide good segmented images when the background is uniform in pavement images.关键词
路面损坏/背景校正/图像处理/图像增强Key words
pavement distress/ background correction/image processing/ image enhancement分类
信息技术与安全科学引用本文复制引用
李莉,孙立军,陈长..改进的路面图像背景校正算法 [J].同济大学学报（自然科学版）,2011,39(1):79-84,6.
