Linear structure modeling and PCA algorithm for bridge crack detection

An algorithm to detect cracks in concrete bridges for the purpose of automating inspection of concrete bridges is presented. The algorithm combines linear structure modeling with principal component analysis (PCA) to detect cracks in images using a training set. PCA is a classical technique in feature detection; however, to improve the results of such algorithm the linear modeling is prior to PCA. Experimental results using real bridge images are presented.