基于粗糙集理论的水下大坝裂缝图像增强算法

计算机与现代化

基于粗糙集理论的水下大坝裂缝图像增强算法

河海大学物联网工程学院，江苏常州213022

收稿日期:2015-04-16 出版日期:2015-09-21 发布日期:2015-09-24
作者简介: 汪耕任（1990-），男，湖北随州人，河海大学物联网工程学院硕士研究生，研究方向：图像信号获取与处理; 范新南(1965-)，男，江苏宜兴人，教授，博士生导师，研究方向：信息获取与信息处理。
基金资助:
国家自然科学基金资助项目（61273170）; 高等学校博士学科点专项科研基金项目(20120094120023)

Underwater Dam Crack Image Enhancement Algorithm Based on Rough Set

College of Internet of Things Engineering, Hohai University, Changzhou 213022, China

Received:2015-04-16 Online:2015-09-21 Published:2015-09-24

摘要/Abstract

摘要：

针对水下大坝裂缝图像信噪比低、光照分布极度不均匀和裂缝纹理被阴影遮挡等难题，本文提出一种基于粗糙集分类规则发现水下大坝裂缝自适应增强算法。该算法利用粗糙集对数据进行

有用信息挖掘时具有先天优势的特点，首先对缺陷图像构建知识表达系统，按等价关系分别用上近似与下近似求取亮度层；然后引入近似分类精度和系统参数重要度，计算其值随划分层数变化趋势；最

后根据它们的收敛性反馈最佳划分，从而自适应亮度层逐层增强图像。仿真实验验证了算法的有效性。

关键词: 图像增强, 粗糙集, 近似分类精度, 自适应

Abstract:

In view of the complex environmental conditions of underwater image acquisition for the dam cracks, such as the light scattering and attenuation caused by water

led to the low signal to noise ratio of image, the extremely uneven of light distribution as well as fracture texture weakening,this paper proposes an adaptive enhancement

algorithm, which adopts the discovery and classification rules of rough sets. This algorithm takes the congenital advantage of rough set when mining data for useful information.

On the base of rough set theory,we divide the defect images according to the equivalence relation, which can be used to calculate brightness layer by using upper approximation

and lower approximation, then enhance the texture of the crack image layer by layer. Further more, in order to feedback the best number of layers we introduce approximate

classification accuracy and system parameters importance. Finally,by calculating their value and analyzing their convergence we can get the best adaptive dam crack enhancement

image.The simulation results verify the effectiveness of the algorithm.

Key words: image enhancement； rough set； approximate classification accuracy, adaptive

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WANG Geng-ren, FAN Xin-nan, SHI Peng-fei, CHEN Wei. Underwater Dam Crack Image Enhancement Algorithm Based on Rough Set[J]. Computer and Modernization.

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