Numeral instrument recognition 数显仪表自动读数
intelligentized instrument-recognition 智能仪器识别
instrument digits recognition 仪表数字识别
Based on the research of the structure of instrument recognition system, image preprocessing technology, Hough transform algorithm and neural network,this thesis designs the flow of image preprocessing, realizes the image preprocessing algorithm,and improves the Hough transform algorithm and BP algorithm.
本课题在对仪表识别系统结构、图像预处理技术、Hough变换算法和神经网络的研究基础上,设计了图像预处理流程,实现了图像预处理算法,对Hough变换算法和BP算法进行了改进。
参考来源 - 视频扫描表头识别系统的研究与实现·2,447,543篇论文数据，部分数据来源于NoteExpress
This paper presents an instrument recognition method based on SVM.
文章提出了一种基于支持向量机的乐器识别方法。
The traditional instrument recognition method adopts binary-tree classifying method. The process of this method is trivial and inaccurate.
传统的乐器识别方法采用的是树型分类方法，这种方法分类过程比较繁琐，而且精度不高。
The instrument recognition system made by video scanning has realized the reading recognition of index-instrument and digital display instrument.
设计的视频扫描表头识别系统，实现了指针式仪表和数字显示仪表的识别。
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