管壁图像特征点提取与匹配技术研究

2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI:10.1109/ICICIP.2010.5564303

Songsong Li, Xiang Li, Xiaoming Chen, Changhui Deng

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引用次数: 0

摘要

管道缺陷识别是实现管道在线检测的必要条件。本文提出了管道目视检测的方法。根据管道成像原理，利用Harris角点提取算子提出了角点检测和自动点匹配的NCC算法。研究了管道缺陷特征点的识别与匹配算法，分析结果表明管道视觉检测的特征点提取与匹配算法是有效的。

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Research on feature points extraction and matching technology of pipe-wall images

Pipeline defect recognition is necessary to achieve the online inspection of pipeline. In this paper, the method of pipeline visual inspection is proposed. According to the principle of pipe imaging, Harris corner extraction operator is used to present the NCC algorithm of corner detection and automatic point matching. The feature point identification and matching algorithm of pipeline defect is studied, and the corresponding analytical result indicate the extraction and matching algorithm of pipeline visual inspection is effective.

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2010 International Conference on Intelligent Control and Information Processing

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