计算机科学与应用

Vol.3 No.5 (August 2013)

基于智能视觉的混凝土微结构质量检测方法研究
Research on Concrete Micro Structure Analysis Based on Intelligent Vision

 

作者:

郑圣子 , 李相旭 :天津科技大学机械工程学院

 

关键词:

智能视觉混凝土模糊分类Intelligent Vision Concrete Fuzzy Classification

 

摘要:

混凝土质量对建筑物,桥梁,公路等设施的安全性,可靠性影响很大。目前的质量检测主要是人工的方法,通过显微镜观察混凝土切面的成分组成和分布,费时费力,检测质量很难保证。本文提出一种新颖的基于模糊规则混凝土质量智能视觉识别技术,通过支持向量机自动学习模糊规则,模仿人类的智能视觉识别过程,提高质量检测的自动化,可靠性和效率。实验证明,该方法相对于传统的方法来说,是有效的。

The quality of concrete plays an important role in assessing the safety and reliability issues of buildings, bridges and roads. At present, quality tests mainly depend on manual labor, through a micro telescope vision to check crossover of concrete sample. It is time-consuming and the test results have low reliability. This paper proposes a new intelligent vision based on analyzing method by implementing fuzzy logic. Base on support vector learning, the fuzzy rules are constructed automatically simulating a human learning and classifying process. This approach improves the productivity, reliability, and degree of automation. Compared with traditional method, this way proves its effectiveness through experimental verification.

文章引用:

郑圣子 , 李相旭 (2013) 基于智能视觉的混凝土微结构质量检测方法研究。 计算机科学与应用, 3, 267-271. doi: 10.12677/CSA.2013.35046

 

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