Beamlet Transform Based Pavement Image Crack detection

摘要：

The complex nature of road images and weak signal make the detection of pavement cracks particularly difficult. An algorithm for pavement cracks detection based on Beamlet Transform is proposed. Beamlet transform is a new tool for high dimensional singularity analysis. First, the pavement surface image was segmented into unit image and transformed to binary image. Then beamlet transform was performed. Experimental results show the proposed method is effective in detecting line features with any orientation, location and length in pavement images. Compared with traditional edge detectors, the proposed method has the ability of anti-noise and linear connection.

关键词： beamlet transform pavement surface image multi-scale analysis crack detection

作者: Na WEI XiangMo ZHAO XiaoYu DOU HongXun SONG Tao Wang

作者单位: College of Information engineering Changan University Xian, Shaanxi, China Engineering College of Armed Police Force Teaching and research division of information technology X

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 881-883

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）