Cracks are widespread in infrastructure that closely related to human activity. It is very popular use artificial intelligence detect cracks intelligently, which known as crack detection. The noise the background of images, discontinuity and other problems make detection task a huge challenge. Although many approaches have been proposed, there still two challenges: (1) long complex shape, makin...

Abstract Only the label corresponding to maximum value of fully connected layer is used as output category when a neural network performs classification tasks. When close sub-maximum value, obtained by considering only and ignoring not completely accurate. To reduce noise improve accuracy, combining principles fuzzy reasoning, this paper integrates all results with emotional tendency text based...