Color ImageBased Defect Detection Method for Bridge Coating Assessment  

出　　处：《Journal of Civil Engineering and Architecture》2011年第11期979-985,共7页土木工程与建筑（英文版）

摘　　要：This paper presents a highly efficient method for recognizing the existence of bridge coating rust defects by using color image processing. The detection of defects on steel bridge surfaces during the operation and maintenance of bridge structures is important to ensure the safety and reliability of them. More advanced techniques such as digital image processing have been studied for better monitoring and detection as existing infrastructure systems are aged and deteriorated rapidly. Recently, image-based defect recognition and assessment methods have gained considerable attention in the civil engineering domain due to their accuracy, speed, and lower cost. The proposed method in this paper is a fast decision-making system by utilizing color image processing. It was developed by processing original bridge coating images to generate color values and calculating eigenvalues from each digitized image. The values from two different groups, a defective group and a nondefective group, are compared each other to figure out the feasibility of this approach. Finally, an automated defect recognition method is presented and tested with more images. This method can be used to make a decision whether a given digitized image contains defects.

关 键 词：Bridge inspection image processing DECISIONMAKING infrastructure condition assessment. 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TN407[自动化与计算机技术—计算机科学与技术]