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A Neural Network based Technique for Automatic Classification of Road Cracks

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4 Author(s)
Bray, J. ; Canal Ind. & Trading Co., Brisbane ; Verma, B. ; Xue Li ; Wade He

This paper presents a neural network based technique for the classification of segments of road images into cracks and normal images. The density and histogram features are extracted. The features are passed to a neural network for the classification of images into images with and without cracks. Once images are classified into cracks and non-cracks, they are passed to another neural network for the classification of a crack type after segmentation. Some experiments were conducted and promising results were obtained. The selected results and a comparative analysis are included in this paper.

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Neural Networks, 2006. IJCNN '06. International Joint Conference on

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