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基于Matlab图像处理的水泥路面裂缝检测研究
引用本文:王博.基于Matlab图像处理的水泥路面裂缝检测研究[J].商洛师范专科学校学报,2014(4):42-45.
作者姓名:王博
作者单位:商洛学院电子信息与电气工程学院,陕西商洛726000
摘    要:以水泥混凝土路面的裂缝检测及特征提取为研究对象。利用Matlab的数字图像处理技术,对采集到的水泥路面裂缝图像进行了一系列处理,最终达到提取裂缝特征数据的目的。结果表明:对图像的灰度化、中值滤波、平滑、锐化分割以及形态学处理后,裂缝图像有明显去噪效果、平滑效果、边缘模糊影响最小,所用裂缝计算方法可以准确地得到线性裂缝的长度以及网状裂缝的面积。

关 键 词:数字图像处理  Matlab  图像增强  图像分割  特征提取

A Study on Cement Pavement Crack Detection Based on Matlab Image Processing
WANG Bo.A Study on Cement Pavement Crack Detection Based on Matlab Image Processing[J].Journal of Shangluo Teachers College,2014(4):42-45.
Authors:WANG Bo
Institution:WANG Bo (College of Electronic Information and Electrical Engineering,Shangluo University, Shangluo 726000, Shaanxi)
Abstract:The detection of cement concrete pavement cracks is taken as a research subject. A series of cement concrete pavement cracks have been takled with the technology of Maflab digital image processing. The characteristic parameters of the pavement cracks have been finally extracted.The results indicated that by Gray-Scale transformation of the crack image, smoothing of the crack image, sharpening of the crack image and image segmentation, the de-noising effect, smooth result become better and the edge blurring effect becomes little. The characteristic parameters of the pavement cracks have been accurately extracted including length calculation of the linear crack and area calculation of the reticular crack.
Keywords:digital image processing  Matlab  image enhancement  image segmentation  characteristicparameter extraction
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