Improved road crack detection based on one-class Parzen density estimation and entropy reduction

2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI:10.1109/ICIP.2010.5653305

Henrique Oliveira, J. Caeiro, P. Correia

引用次数: 14

Abstract

A novel unsupervised strategy to detect cracks on flexible road pavement images, acquired by laser imaging systems, is proposed. It explores the UINTA entropy reduction filter in an innovative way.

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基于一类Parzen密度估计和熵约简的改进道路裂纹检测方法

针对激光成像系统获取的柔性路面图像，提出了一种新的无监督检测策略。它以一种创新的方式探索了unita熵减少滤波器。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2010 IEEE International Conference on Image Processing

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