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Received:August 15, 2014 Revised:September 19, 2014
Received:August 15, 2014 Revised:September 19, 2014
中文摘要: 针对传统的P分位分割算法容易受到道路标线的干扰, 设计了一种改进型P分位算法分别对含有或没有含有道路标线的裂缝图像进行二值化, 其中对不含道路标线的裂缝图像采用传统的P分位法, 而对含道路标线的裂缝图像分三种情况进行细化处理. 实验结果表明, 与传统P分位算法相比, 改进后的算法对路面裂缝图像分割及后续的图像处理产生较好的效果.
Abstract:In view of the traditional P algorithm is easy to be interfered by the road markings, this paper designed a kind of improved P algorithm. It is used to obtain binary image for containing or not containing road crack image. The crack image which does not contain the road marking is the traditional P algorithm, and the crack image containing road marking were thinning of three cases. The experimental results show that, with the traditional P algorithm, the improved algorithm for pavement crack image segmentation and subsequent image processing to produce good results.
keywords: P algorithm road marking neural network pavement cracks
文章编号： 中图分类号： 文献标志码：
基金项目:湖南省教育厅科学研究项目(13C380)
| Author Name | Affiliation |
| WEN Li | Information Engineering Department, Hunan Vocational Institute of Technology, Xiangtan 411104, China |
| Author Name | Affiliation |
| WEN Li | Information Engineering Department, Hunan Vocational Institute of Technology, Xiangtan 411104, China |
引用文本：
文立.P分位改进算法及其在路面裂缝检测中应用.计算机系统应用,2015,24(4):201-204
WEN Li.Improved P Algorithm and its Application in Pavement Crack Detection.COMPUTER SYSTEMS APPLICATIONS,2015,24(4):201-204
文立.P分位改进算法及其在路面裂缝检测中应用.计算机系统应用,2015,24(4):201-204
WEN Li.Improved P Algorithm and its Application in Pavement Crack Detection.COMPUTER SYSTEMS APPLICATIONS,2015,24(4):201-204
