%0 Journal Article %A CHU Xiu-min %A YAN Xin-ping %A CHEN Xian-qiao %T Study of pavement surface distress image binarization %D 2008 %R 10.3778/j.issn.1002-8331.2008.28.054 %J Computer Engineering and Applications %P 161-165 %V 44 %N 28 %X It is foundation for automatic inspection to collect pavement image and do the image binarization.In this paper,a high resolution image collecting system is built to real-time collect and save pavement images,and the pavement marker image is departed from the background of pavement image by mean of analysing the pixels grey.In pavement image binarization,the pavement image is divided into 400 sub-images which have 100×100 pixels.First,the features of sub-images are represented by the aij and bij,and the sub-image model classifier is designed by mean of online study.Second,the connexity of the sub-image model is used to describe pavement surface distress continuity,farther the wrong classifying models of the pavement sub-images are corrected.Last,the optimization threshold of the pixels grey is used to do the pavement surface image binarization.The test shows that this arithmetic can segment the pavement surface distress clearly. %U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2008.28.054