管道内表面图像分析系统及算法研究

An Analysis System and Study of Algorithms for Inner Wall Anticorrosive Image of Pipe

本文简要介绍了管道内表面图像分析系统的组成和工作原理 ,描述了系统使用的核心技术和算法 ,包括图像预处理、图像的特征提取和分类器的设计。利用一幅图像的R、G、B分量对分类结果的贡献不同 ,采用线性加权的方法构造了组合分类器。本系统具有较高的分类效率 。

This thesis introduces the theory, structure and performance of an analysis and recognition system for inner wall anticorrosive image of pipe, meanwhile, the core techniques and algorithms used in this system are discussed. They involve the algorithm of image enhancement, the algorithm of extracting features, the algorithm of combined classifier design etc.