首页|Pavement Crack Detection Algorithm Based on Visual Model
Pavement Crack Detection Algorithm Based on Visual Model
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By the interference of light, shadow, oil pollution and noise, pavement crack segmentation is prone to appear error segmentation. In order to accurately extract the crack edge which conforms to the human eye characteristics, pavement crack detection algorithm based on visual model is proposed in this paper. This algorithm uses opening and closing operations based on multi-scale contour structuring elements to remove noise, and grade image is obtained by the smallest size contour structuring. An image can be divided into low dark area, middle area and high bright area through Weber's law according to bionics principle and background brightness. The edge thresholds for the different areas are calculated according to the different equations respectively. The proposed crack edge detector is tested on popular images having different image properties and also compared with popular edge detectors from the literature. Experimental results show that the proposed crack edge detector exhibit s much better performance than the one of competing operators, and may efficiently be used for the detection of crack in digital pavement images.
Road EngineeringCrack DetectionVisual ModelMorphologyContour Structuring Element
Yao Fan、Yanli Chu
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College of Information Engineering, Xizang Minzu University, Xianyang 712082, China
Information Engineering Department, Engineering University of CAPF, Xi'an 710086, China
NETL
NSTL
