Pavement Crack Automatic Recognition Based on Wiener Filtering

Study of image-based pavement cracking measurement techniques

“…Besides, many researchers have studied the recognition and classification of pavement cracking images and imaging method is widely used to identify pavement surface distresses. The mask filtrating method are used to enhance the pavement cracking images [2] and the phase grouping method [3] , the modified median-filter algorithm with four structural elements and morphological operators [4] , fractal theory [5] and the maximum of class distance method [2] are used to extract the cracking edges and fill the gaps of the cracking. Some novel cracking automatic detection approach based on segment extending for complex pavement images is proposed to resolve the problem that image processing methods on pixel or connected domain level could not identify pavement cracking correctly and entirely for most cracks in actual pavement surface images are disconnected and unclear.…”