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基于Hessian矩阵的线形结构搜索路面裂缝提取方法

朱春省 蔡倩 徐贵力 李振华 王正兵

计算机与现代化Issue(9):61-66,6.
计算机与现代化Issue(9):61-66,6.DOI:10.3969/j.issn.1006-2475.2017.09.012

基于Hessian矩阵的线形结构搜索路面裂缝提取方法

Pavement Crack Extraction Based on Hessian Matrix and Linear Structure

朱春省 1蔡倩 1徐贵力 1李振华 1王正兵1

作者信息

  • 1. 南京航空航天大学自动化学院,江苏南京211106
  • 折叠

摘要

Abstract

At present,the result of the 3D pavement crack detection method is bad.This paper proposes a new pavement crack extraction method based on Hessian matrix and linear structure.Firstly,in order to solve the problem of weak contrast and multi interference of pavement depth image,according to the characteristics of edge and gray level of crack,a new algorithm based on piecewise function is proposed.Then,in view of the issue of discontinuous crack and sensitivity to noise of multi scale rough extraction algorithm based on Hessian matrix,according to the consistency of the local direction of crack and the discreteness of noise,a new algorithm based on linear structure constraint is proposed.The experimental results show that the method is suitable for pavement cracks with different scales and degrees,compared with the method of document[5] and document[15],the extraction integrity is improved by more than 10% and more than 6% respectively,the extraction correct rate is increased by more than 2% and more than 1% respectively,but the time is almost the same as the first and is about one third of the second.

关键词

深度图像/分段函数/裂缝提取/线形结构

Key words

depth image/piecewise function/crack extraction/linear structure

分类

信息技术与安全科学

引用本文复制引用

朱春省,蔡倩,徐贵力,李振华,王正兵..基于Hessian矩阵的线形结构搜索路面裂缝提取方法[J].计算机与现代化,2017,(9):61-66,6.

基金项目

国家自然科学基金资助项目(61473148) (61473148)

计算机与现代化

OACSTPCD

1006-2475

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