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基于相位信息与空间关系的路面裂缝检测
引用本文:陈松,靳华中,郭鹏. 基于相位信息与空间关系的路面裂缝检测[J]. 湖北工业大学学报, 2014, 0(4): 106-111
作者姓名:陈松  靳华中  郭鹏
作者单位:湖北工业大学计算机学院,湖北 武汉430068
基金项目:国家级大学生创新创业训练计划(201210500021);湖北省省优秀青年基金(Q20121410);湖北工业大学博士启动基金(BSQD12033)
摘    要:针对传统边缘检测算法的不足,分析路面裂缝低信噪比特点,提出了一种基于相位信息与区域空间关系的路面裂缝检测方法。首先,利用相位信息计算成对像素的相似性,并引入空间关系,使得位于边缘同侧的相似性增强,异侧的相似性减弱,然后应用谱方法进行聚类,完成裂缝边缘提取。实验结果表明方法有效。

关 键 词:裂缝检测  相位信息  空间关系  聚类  方向能量模型

Pavement Crack Detection based on Phase Information and Spatial Relations
CHEN Song,JIN Huazhong,GUO Peng. Pavement Crack Detection based on Phase Information and Spatial Relations[J]. Journal of Hubei University of Technology, 2014, 0(4): 106-111
Authors:CHEN Song  JIN Huazhong  GUO Peng
Affiliation:(School of Computer Science, Hubei Univ. of Tech. , Wuhan 430068, China)
Abstract:Aiming at the traditional arithmetic insufficiency,this paper purposes a pavement crack detection based on phase information and spatial relations.Firstly,the similarity between pairs of pixels was calcu-lated through the phase information.Then,spatial relationship was introduced to find regions where simi-larity between pixels in a given region is high and similarity between pixels in different regions is low.Af-ter that,the crack edge detection was completed with the spectral clustering method.The experimental re-sults prove the effectiveness of the crack detection method.
Keywords:crack detection  phase information  spatial relations  spectral clustering  oriented energy model
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