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分割与识别
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  segmentation and recognition
     Segmentation and recognition of bridge over water based on Mumford-Shah model
     基于Mumford-Shah模型的水上桥梁目标分割与识别
短句来源
     Study on Segmentation and Recognition Algorithms for Underwater Images Based on Fuzzy Theory
     基于模糊理论的水下图像分割与识别算法研究
短句来源
     Color Image Segmentation and Recognition for Soccer Robots
     足球机器人彩色视觉图像的分割与识别
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     HAND GESTURE SEGMENTATION AND RECOGNITION WITH COMPLEX BACKGROUNDS
     复杂背景下的手势分割与识别
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     Research for the Cancer Cells Microscopic Image Segmentation and Recognition
     癌细胞显微图像分割与识别研究
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  segmenting and recognizing
     Study on Segmenting and Recognizing Video Object Based on Feature Image Sequences of K Elements
     基于K元特征图像序列的视频目标分割与识别技术研究
短句来源
     Object Intelligent Segmenting and Recognizing in Tomato Automatic Harvesting Robot
     番茄收获机器人中视觉目标的自动分割与识别
短句来源
  detection and recognition
     Research on Algorithms and Mathematic Model of Road Sign Automatic Detection and Recognition
     交通标志自动分割与识别算法及数学模型研究
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     Face detection and recognition is one of the hot issues in pattern recognition and artificial intelligence fields, which involves image processing, psychology, physiology, recognition science and so on, so the research on this issue is challenging and meaningful.
     本文在分析和总结国内外近十多年来的相关研究成果和最新研究进展的基础上,针对应用上急需解决的人脸分割定位和人脸识别的方法和理论进行了系统的实验和理论研究,在视频序列人脸图像分割与识别技术方面取得了一些成果。
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  “分割与识别”译为未确定词的双语例句
     Automatic Vehicle Identification is mainly composed of three key technologies, namely, vehicle license plate location, character segmentation and character recognition.
     汽车牌照识别技术主要包括三个内容:车牌定位、字符分割和字符识别。 其中车牌定位的目的就是从所拍摄的汽车牌照图像中确定车牌的位置,以便于车牌字符的分割与识别处理。
短句来源
     Applying Top-Hat Morphology Arithmetic Operators to Segment and Recognize Moving Images
     基于形态学Top-Hat算子实现运动图像的分割与识别
短句来源
     2. Calculating different tomato histogram, then analyzing the color feature of tomato in outdoor environment.
     2.统计了番茄的各类颜色分布直方图,分析了番茄的颜色特征,为下一步图像的分割与识别提供判断依据。
短句来源
     In this paper, the segmentation and the recognition of mathematical expressions are considered, based on the BP neural networks, SOFM network and moment technique.
     本文基于BP神经网络和Kohonen的自组织特征映射网络(SOFM)两种网络和矩方法,设计出一个数学公式的分割与识别系统,完成从接收扫描而来的数据,经过图象的预处理。
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     A Novel Algorithm of Character Segmentation in License Plates Recognition
     一种新的车牌图像字符分割与识别算法
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  segmentation and recognition
An algorithm for the segmentation and recognition of license plates based on dynamic programming is proposed.
      
A neural network architecture for the segmentation and recognition of colored and textured visual stimuli is presented.
      
The first is segmentation and recognition of primitive components, such as symbols, characters, and long lines.
      
Structural analysis of Arabic handwriting: segmentation and recognition
      
The localization stage of the CLPR yields a plate clip followed by character segmentation and recognition.
      
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  segmenting and recognizing
This paper presents an HMM-MLP hybrid system for segmenting and recognizing complex date images written on Brazilian bank checks.
      
Detecting, segmenting and recognizing text in nontext parts of web pages is also a very important issue.
      
  detection and recognition
High-speed digital algorithms based on modified fast Fourier-Hadamard transforms are developed for detection and recognition of complex address signals in code-division multiple-access communications systems.
      
The self/non-self selection includes detection and recognition, and the self/non-self detection is based on the normal model of the demo.
      
A Support Vector Machine is used as a classifier to the automatic detection and recognition of underwater still objects.
      
Graft rejection involves the detection and recognition of foreign antigen and the subsequent activation of specific T-lymphocyte clones leading to inflammatory injury to the donor organ.
      
The circular arc is a very useful feature for object detection and recognition in industrial environments.
      
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Images on the moving freight train are under investigation which were taken under the conditions of all weather. Pre-processing methods of P-parameter and gradient exchanging are used in order to figure out the useful binary information and segmentation and recognition are made available.

针对室外全天候环境下连续采集的运动的铁路货车上的车号图像进行研究。采用P-参数灰度变换及梯度变换等预处理方法,从图像中提出每个数字有效的二值化信息。为目标的进一步分割与识别打下基础

This paper presents a man-machine game chess experimentel sytem, and the vision detection is realized by means of cheap and popular-camera. A series of problems are disucssed specially,those are segmentation and recognition of mutiple -target object, the depth treatmetn of two dimensional image, the tracing and control with real -time for the object, etc.

本文以人机博弈系统作为实验手段,利用普通廉价的摄像机实现了视觉的检测,着重讨论了多目标物体的分割与识别、二维图像的深度处理及对目标实时跟踪与控制。

The research and implementation of postal numerals segmentation and recognition system for window letters are discussed in the paper here. Row information of characters is gained from envelope's image according to projection, then the sub image of postal numerals is segmented. The numerals are recognized by two independent classifiers, and their results are combined to form final results. A new combination mode of multiple classifiers based on statistical rules is utilized in order to achieve good performance...

The research and implementation of postal numerals segmentation and recognition system for window letters are discussed in the paper here. Row information of characters is gained from envelope's image according to projection, then the sub image of postal numerals is segmented. The numerals are recognized by two independent classifiers, and their results are combined to form final results. A new combination mode of multiple classifiers based on statistical rules is utilized in order to achieve good performance for high recognition rate and low substitution rate. It is proved that the performance of the system is good, which suffices to the requirement of the practical use.

文中介绍了窗口信函邮政编码分割与识别系统的研制.根据投影原理首先分割出信封图像上的文字行,然后再在行内分割邮政编码数字的图像.数字的识别采用两种方法分别进行,对两个识别结果经适当的组合形成最后的识别结果.采用了一种基于统计规则的多分类器组合方法,使得组合的结果不仅识别率高而且错识率低.实践表明该系统具有分割效果良好、识别率高和可信度高等优点,满足了实际使用的要求.

 
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