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1)  text segmentation
文字分割
1.
An algorithm combined texture-based methods with connected component methods was proposed for text segmentation in color complex image.
提出了一种纹理和连通域特征相结合的彩色文字分割方法。
2.
According to the morphic characteristics of the Chinese characters and background areas in a complex background image, we propose a fast text segmentation algorithm based on morph operation, and compare it with the LLT algorithm.
本文针对复杂背景图像中文字与背景区域的形态特征,提出了一种基于形态运算和区域生长的快速文字分割算法MOSA,同时将之与LLT分割算法进行了比较。
2)  text segmentation and recognition
文字分割与识别
3)  video text segmentation
视频文字分割
4)  Characters segmentation
字符分割
1.
This paper discusses characters segmentation and characters recognition in intelligent vehicle plate recognition system.
对车牌识别(LPR)系统中字符分割与字符识别方法进行探讨。
2.
The new methods of the early technique of LP recognition, including LP location, LP image contrast estimation, binarization, and characters segmentation are studied and proposed.
针对车牌识别的前期技术 ,即车牌定位、车牌图像的对比度判断和二值化、字符分割等技术进行了研究并提出了新的处理方法 ,实验结果表明提出的算法简洁、实时性好、处理正确率高 ,达到了实用的标
5)  character division
字符分割
1.
License Plate Locating and Character Division;
汽车牌照定位与字符分割
2.
The accuracy of character division is the prerequisite of correct recognition in the automatic recognition system for automobile license plate.
在汽车牌照自动识别系统中,字符分割的准确性是能否正确识别的前提条件,由于受自然环境和人为因素的影响,造成图像质量下降,给字符分割带来了很大的干扰,本文采用了面积投影法,轮廓投影法和固定间距法综合来分割字符,现场实践证明,字符分割准确卒达到98。
3.
Various techniques of digital image processing in the license plate identification are introduced,and the key techniques such as edge detection of license plate and character division of license plate are discussed in detail.
讨论了数字图像处理在车牌识别中所使用的各种技术,对于车牌边缘检测和车牌字符分割等关键处理技术进行了较为详细的论述。
6)  character segment
字符分割
1.
This paper analyzes the application statement of traffic management of image auto-recognition system at home and abroad, demonstrates the advantages and disadvantages of the technique plan applied in all kinds of auto-recognition system currently, and researches the image location and character segment technique and makes a comparison between them.
通过分析国内外图像自动识别系统在交通管理中应用的现状 ,指出了现行各种自动识别系统所采用技术方案的优缺点 ,提出了一种新的车牌图像自动识别管理系统 ,并对其中图像定位和字符分割核心技术的研究进行了分析比较 ,提供了在复杂图像中如何进行图像识别的研究新思路 ,使其在实践中能得到广泛应
2.
Based on the advantage of FPGA in signal processing,a kind of parallel processing construction of character segment operation,which is one of the most important procedure of LPR system,and implements and optimizes the design in System Generator platform provided by Xilinx about DSP.
基于FPGA并行性对车牌识别系统中重要组成部分字符分割,提出一种适合硬件并行实现的结构,并在System Generator中完成了模型的建立以及优化。
补充资料:Dedekind分割


Dedekind分割
Dedekind cut

  D日加脑目分割[D汕如目cut;皿e八eKou皿。即ee,e。。e],分割(cut) 把实数集R(或有理数集Q)分割成两个非空集合A和B,其并为R(或Q),并使得对任何a6A和be及都有a  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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