期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：8
页码：191-204
出版社：SERSC
摘要：Due to the concrete crack images are self-similarity in the contents, it makes the matching procedure more difficult and unstable than the others. For the purpose of finding out the stable and accurate matching algorithm of concrete crack images, we give an analysis of different kinds of characters, such as, scale invariant feature transform (SIFT), local maximum gradient descriptor, Harris corners, and the maximum curvature points of the image edges, etc. Based on the experiments of different concrete crack images, a new stable matching algorithm is proposed in this paper. In our model, the edge information is combined with the local maximum gradient of the input matching images. After the extraction of the local maximum gradient character points, we use the edge information to divide these points into different classes. Then, the searching of the stable and accurate matching problem becomes to find out the best matching results which agree to the edge constraints. The experimental results show that the proposed algorithm is more consistence and stable than the other kinds of matching algorithms especially in the proposing of sequential concrete crack images.
