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面结构光检测中符号识别方法研究
引用本文:喻英粽,徐玉芳,喻擎苍. 面结构光检测中符号识别方法研究[J]. 计算机工程与设计, 2010, 31(10)
作者姓名:喻英粽  徐玉芳  喻擎苍
作者单位:浙江理工大学,信电学院,浙江,杭州,310018;西安工程技术学院,陕西,西安,710065
摘    要:为提高面结构光检测中符号识别效率和增强识别方法的鲁棒性,提出了一种基于形心特征面结构光符号识别方法.该方法采用逐行标记方法对图像进行标记,生成黑白连通域队列,接着对黑白连通域进行关联即可提取出待识别的符号域,根据符号域内连通数目、各连通成分形心分布特征、最大内连通域的方向和方位等特征即可实现符号的识别.整个识别过程只需扫描一遍图像和两遍连通域队列.

关 键 词:符号识别  连通域  游程扫描  解码  形心

Research of symbol recognition method of structured light detection
YU Ying-zong,XU Yu-fang,YU Qing-cang. Research of symbol recognition method of structured light detection[J]. Computer Engineering and Design, 2010, 31(10)
Authors:YU Ying-zong  XU Yu-fang  YU Qing-cang
Affiliation:YU Ying-zong1,XU Yu-fang2,YU Qing-cang1(1.College of Information , Electronics,Zhejiang Science-Technology University,Hangzhou 310018,China,2.Xi'an Engineering Technology Institute,Xi'an 710065,China)
Abstract:To improve the efficiency of symbolic recognition and enhance the robustness of identification methods,a symbol recognition method based on the characteristics of the centroid is presented.This method uses progressive methods of marking tags on the images to produce black and white connected domain queue.Then the symbol domain can be extracted.According to the number of connected regions in the symbol domain,the connected components of the heart-shaped distribution,the position and orientation of the larges...
Keywords:symbol recognition  connected domain  run-length scan  decoding  centroid  
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