工具箱
计算机科学
MATLAB语言
样品(材料)
图像处理
图像(数学)
表征(材料科学)
人工智能
集合(抽象数据类型)
数据挖掘
计算机视觉
模式识别(心理学)
数据库
材料科学
程序设计语言
化学
色谱法
纳米技术
操作系统
作者
Henrique Oliveira,Paulo Lobato Correia
标识
DOI:10.1109/icip.2014.7025160
摘要
This paper presents a comprehensive set of image processing algorithms for detection and characterization of road pavement surface crack distresses, which is being made available to the research community. The toolbox, in the Matlab environment, includes algorithms to preprocess images, to detect cracks and characterize them into types, based on image processing and pattern recognition techniques, as well as modules devoted to the performance evaluation of crack detection and characterization solutions. A sample database of 84 pavement surface images taken during a traditional road survey is provided with the toolbox, since no pavement image databases are publicly available for crack detection and characterization evaluation purposes. Results achieved applying the proposed toolbox to the sample database are discussed, illustrating the potential of the available algorithms.
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