Study of the Basis Function Fitting Correction Algorithm for the Uneven Brightness of the Pavement Image

摘要：

　　In order to overcome the problems of the uneven background brightness of the pavement image that acquisited from the vehicle vision system, this paper proposed the function approximation theory fitting algorithm based on the illuminance-reflection model, estimated the illuminance deviation of the pavement image through the orthogonal basis function fitting, and stretched the pavement image by the division operation, then corrected the image effectively.The results showed that this method can eliminate the uneven background brightness caused by the uneven illuminance effectively, enhance the image contrast, and have good consistency for the adjacent frame of the pavement image image sequences.

关键词： pavement image uneven brightness basis function image fitting illuminance deviation image correction

作者: Jin Shoufeng Fan Di Hu Yongbiao

作者单位: Key Laboratory of Highway Construction Technology and Equipment of Ministry of Education, Changan U College of Mechanical and Electrical Engineering, Xian Polytechnic University, Xian 710048, China Key Laboratory of Highway Construction Technology and Equipment of Ministry of Education, Changan U

会议类型: 国际会议

会议名称: The 2015 International Conference on Advances in Construction Machinery and Vehicle Engineering(2015 工程机械与车辆工程新进展国际学术会议)

会议地点: 西安

会议语种:英文

页码: 254-257

在线出版日期: 2015-09-18（万方平台首次上网日期，不代表论文的发表时间）