Using improved SIFT algorithm to implement surface defects detection for bridge cable

武汉大学学报(信息科学版) Pub Date : 2014-01-01 DOI:10.13203/J.WHUGIS20130191

Lt, strong gt, Xinke Li, Chao Gao, Yongcai Guo, Y. Shao, Fuliang He

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引用次数: 2

Abstract

In order to realize automatic nondestructive testing for surface cable damage on a cablestayed bridge,a distributed machine vision system was developed.It uses four cameras to acquire images around the cable surface.Surface defection may be distributed in several images.An improved scale invariant feature transform(SIFT)feature matching algorithm for image mosaicing is proposed to real time processing to obtain a whole defect effectively.First,feature points are extracted by a Harris operator.Second,according to defect images collected by the system,the steps of the SIFT operator such as the distribution of the main direction for the matching feature points and the matching image rotation is simplified.The simplified SIFT operator is employed to describe the feature points and match the images.Finally,image fusion is implemented and a complete image of a defect is obtained.Experimental results show that the algorithm complexity is greatly reduced and improves detection integrity for surface cable defects using our improved SIFT to automaticslly stitch the defect images together.

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采用改进的SIFT算法实现桥式电缆表面缺陷检测

为了实现斜拉桥表面电缆损伤的自动无损检测，开发了分布式机器视觉系统。它使用四个摄像头来获取电缆表面周围的图像。表面缺陷可能分布在多个图像中。提出了一种改进的尺度不变特征变换(SIFT)特征匹配算法用于图像拼接的实时处理，以有效地获得完整的缺陷。首先，利用Harris算子提取特征点;其次，根据系统采集到的缺陷图像，简化SIFT算子的匹配特征点主方向分布、匹配图像旋转等步骤;采用简化的SIFT算子对图像进行特征点描述和匹配。最后进行图像融合，得到缺陷的完整图像。实验结果表明，改进后的SIFT将缺陷图像自动拼接在一起，大大降低了算法复杂度，提高了表面电缆缺陷检测的完整性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

武汉大学学报(信息科学版)

CiteScore

2.70

自引率

0.00%

发文量

7114

期刊介绍： Geomatics and Information Science of Wuhan University is a surveying and mapping academic journal supervised by the Ministry of Education and sponsored by Wuhan University. It is also a source journal included in EI (Engineering Index). Since its founding in 1957, the journal has been publicly issued in the form of a monthly journal, originally named "Journal of Wuhan University of Surveying and Mapping". At present, the journal is edited by Academician Li Jiancheng. The purpose of this journal is to utilize China's advantages in surveying and mapping disciplines, serve both the domestic and international communities, publish with an open attitude, and strive to become China's excellent surveying and mapping journal brand. The journal publishes innovative and highly valuable surveying and mapping academic achievements, showcases the latest and highest level of surveying and mapping research in China, and aims to promote academic exchanges in surveying and mapping, guide the research direction of surveying and mapping science, promote the progress of related science and technology, and serve the development of the entire surveying and mapping industry.