图像分割
边缘检测
计算机视觉
图像处理
噪音(视频)
人工智能
计算机科学
图像(数学)
GSM演进的增强数据速率
滤波器(信号处理)
分割
中值滤波器
模式识别(心理学)
标识
DOI:10.1109/ihmsc.2016.96
摘要
Pavement crack detection plays a vital part in highway maintenance and management. It is difficult to detect cracks effectively and accurately through ideal detecting algorithm. This paper improves the pavement crack image processing algorithm from the angle of grey level transformation, median filter and image intensification according to the characteristics of the pavement crack image. Based on defect image segmentation and image edge detection, results show that the proposed detection method can effectively remove the isolated noise point, smooth the edge and improve the segmentation accuracy.
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