Description: 《Visual C++_MATLAB图像处理与识别实用案例精选》本书系统地介绍了图像处理与识别的基本原理、典型方法和实用技术。全书共分12章，第1章－第6章是图像处理与识别的基础内容，包括图像科学综述、MATLAB语言图像编程、图像增强、图像分割、图像特征提取和图像识别；第7章－第10章是图像处理与识别的工程实例，涵盖了医学图像处理、文字识别和自导引小车路径识别等应用实例，并结合理论算法，提供了大量MATLAB代码程序，以帮助读者掌握如何使用MATLAB语言快速进行算法的仿真、调试和估计等方法。第11章－第12章，是两个综合性较强的实例，分别足Visual C++实现的基于神经网络的文字识别系统和车牌定位系统。
本书附带的光盆给出了各个章节列举的实例的源代码，同时赠送了28个常用数字图像处理算法的Visual C++代码实现。光盘在下一次的上载中给出。
注 此为超星图书，请用超星阅读软件打开阅读。-"Visual C _MATLAB image processing and recognition of the practical case Showcase" the book systematically introduced the image processing and recognition of the basic tenets of the typical methods and practical skills. The book is divided into 12 chapters, Chapter 1-Chapter 6 of image processing and recognition of content, including images scientific overview MATLAB programming language images, image enhancement, image segmentation, image feature extraction and image recognition; Chapter 7-Chapter 10 of image processing and recognition of the engineering example, covering medical image processing, Character Recognition and self-guided trolley path recognition example, the combination of theory and algorithms, for a lot of MATLAB code procedures to help readers how to use MATLAB Platform: |
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Author:连接 |
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Description: 《Visual C++_MATLAB图像处理与识别实用案例精选》本书系统地介绍了图像处理与识别的基本原理、典型方法和实用技术。全书共分12章，第1章－第6章是图像处理与识别的基础内容，包括图像科学综述、MATLAB语言图像编程、图像增强、图像分割、图像特征提取和图像识别；第7章－第10章是图像处理与识别的工程实例，涵盖了医学图像处理、文字识别和自导引小车路径识别等应用实例，并结合理论算法，提供了大量MATLAB代码程序，以帮助读者掌握如何使用MATLAB语言快速进行算法的仿真、调试和估计等方法。第11章－第12章，是两个综合性较强的实例，分别足Visual C++实现的基于神经网络的文字识别系统和车牌定位系统。
本书附带的光盆给出了各个章节列举的实例的源代码，同时赠送了28个常用数字图像处理算法的Visual C++代码实现。光盘在下一次的上载中给出。
注 此为超星图书，请用超星阅读软件打开阅读。-"Visual C _MATLAB image processing and recognition of the practical case Showcase" the book systematically introduced the image processing and recognition of the basic tenets of the typical methods and practical skills. The book is divided into 12 chapters, Chapter 1-Chapter 6 of image processing and recognition of content, including images scientific overview MATLAB programming language images, image enhancement, image segmentation, image feature extraction and image recognition; Chapter 7-Chapter 10 of image processing and recognition of the engineering example, covering medical image processing, Character Recognition and self-guided trolley path recognition example, the combination of theory and algorithms, for a lot of MATLAB code procedures to help readers how to use MATLAB Platform: |
Size: 8505344 |
Author:连接 |
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Description: 相当好用的车牌区域定位,车牌字符识别程序,对于理解车牌识别中的数字图像基本原理是不错的入手-Very useful regional positioning plates, license plate character recognition process, for understanding the License Plate Recognition of the basic principles of digital image is a good start Platform: |
Size: 71680 |
Author:wang |
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Description: 图像的贝叶斯分类，将模式识别方法与图像处理技术相结合，掌握利用最小错分概率贝叶斯分类器进行图像分类的基本方法-Bayesian image classification, the pattern recognition method and image processing technology, to master the use of the smallest misclassification probability of Bayes classifier for image classification of basic methods Platform: |
Size: 1024 |
Author:孟星 |
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Description: 字符识别是模式识别领域的一项传统的课题，这是因为字符识别不是一个孤立的问题，而是模式识别领域中大多数课题都会遇到的基本问题，并且在不同的课题中，由于具体的条件不同，解决的方法也不尽相同，因而字符识别的研究仍具有理论和实践意义。这里讨论的是用神经网络识别数字的问题.-Character recognition is a traditional field of pattern recognition issues, this is because character recognition is not an isolated problem, but the majority of subjects in the field of pattern recognition are the basic problems encountered, and in a wide range of topics, because of specific conditions are different, solutions are not the same, so character recognition research is still theoretical and practical significance. Discussed here is the number of neural network to identify problems. Platform: |
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Author:martin |
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Description: This the VC 6.0 automobile license plate recognition system Its basic tenets are based on the use of color plates on the latest technology to identify the license plate. Related technologies : vehicle positioning, character positioning plates tilt corrected, such as character recognition. Source code can be directly translated operations, the identification requirements for image color photographs of 2-This is the VC 6.0 automobile license plate recognition system Its basic tenets are based on the use of color plates on the latest technology to identify the license plate. Related technologies : vehicle positioning, character positioning plates tilt corrected, such as character recognition. Source code can be directly translated operations, the identification requirements for image color photographs of 2 Platform: |
Size: 46080 |
Author:mjdkadh |
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Description: 本书系统地介绍了图像处理与识别的基本原理、典型方法和实用技术。全书共分12章，第1章－第6章是图像处理与识别的基础内容，包括图像科学综述、MATLAB语言图像编程、图像增强、图像分割、图像特征提取和图像识别；第7章－第10章是图像处理与识别的工程实例，涵盖了医学图像处理、文字识别和自导引小车路径识别等应用实例，并结合理论算法，提供了大量MATLAB代码程序，以帮助读者掌握如何使用MATLAB语言快速进行算法的仿真、调试和估计等方法。第11章－第12章，是两个综合性较强的实例，分别足Visual C++实现的基于神经网络的文字识别系统和车牌定位系统。 本书附带的光盆给出了各个章节列举的实例的源代码，同时赠送了28个常用数字图像处理算法的Visual C++代码实现。光盘在下一次的上载中给出。 -This book introduces image processing and recognition, the basic principle of typical methods and practical technology. The book is divided into 12 chapters, chapter 1-chapter 6 is the basis of image processing and identify content, including image science, summary and MATLAB language image programming, image enhancement, image segmentation, image feature extraction and image recognition Chapter 7-chapter 10 is the image processing and identification of the engineering example, covers the medical image processing, and character recognition and the guidance car path recognition application examples, and combine theory algorithm to provide large amounts of MATLAB code to help the reader master how to use MATLAB language of rapid algorithm simulation, commissioning and estimate method. Chapter 11-chapter 12, is two more integrated example, full Visual C++ respectively the realization of the character recognition based on neural network system and license plate localization system. This b Platform: |
Size: 1241088 |
Author:张丽玲 |
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Description: 以数字与字母识别系统的基本处理流程为主线，从待识别数据的获取入手，通过预处理、特征的提取与选择，到分类器的设计等部分都进行了较为详尽的分析与研究，MATLAB仿真实验表明；采用最小距离法对所给出的一组数字及字符图片进行不同的分块识别，最终得出分8块识别率为85.71 ；分16块识别率为95.71 ；分20块识别率为95 ；具有较高的识别率。-The basic process flow of the numbers and letters recognition system as the main line, starting from the acquisition of the data to be identified, preprocessing, feature extraction and selection, to the part of the classifier design a more detailed analysis and research, MATLAB simulationexperiments show minimum distance given a set of character image. different sub-block identification, and ultimately arrive at 8 recognition rate of 85.71 16 points recognition rate of 95.71 20 identifyrate of 95 has a higher recognition rate. Platform: |
Size: 4096 |
Author:刘下 |
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Description: This a GUI program developed in matlab. It is coded for URDU character recognition. The basic coding is done on preprocessing an input image template. The algorithm is written to identify the characters & displaying them in a text box.-This is a GUI program developed in matlab. It is coded for URDU character recognition. The basic coding is done on preprocessing an input image template. The algorithm is written to identify the characters & displaying them in a text box. Platform: |
Size: 1676288 |
Author:manish |
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Description: 本书系统地介绍了图像处理与识别的基本原理、典型方法和实用技术。全书共分12章，第1章～第6章是图像处理与识别的基础内容，包括图像科学综述、MATLAB语言图像编程、图像增强、图像分割、图像特征提取和图像识别；第7章～第10章是图像处理与识别的工程实例，涵盖了医学图像处理、文字识别和自导引小车路径识别等应用实例，并结合理论算法，提供了大量MATLAB代码程序，以帮助读者掌握如何使用MATLAB语言快速进行算法的仿真、调试和估计等方法。第11章～第12章，是两个综合性较强的实例，分别是Visual C++实现的基于神经网络的文字识别系统和车牌定位系统。 本书附带的光盘给出了各个章节列举的实例的源代码，同时赠送了28个常用数字图像处理算法的Visual C++代码实现。 本书讲解深入浅出，实例程序丰富，注重理论与实践相结合。本书可作为计算机应用、自动化、图像处理与模式识别、机电一体化专业的高年级本科生或研究生的参考书，也可供从事图像处理与识别的研究人员和工程技术人员阅读参考。-This book introduces the basic principles of image processing and recognition of the typical methods and practical skills . The book is divided into 12 chapters , Chapter 1- Chapter 6 is the basis of the content of image processing and recognition , including images scientific overview , MATLAB programming language images, image enhancement, image segmentation, image feature extraction and image recognition Chapter 7- Section Chapter 10 is a project example image processing and recognition , covering the medical image processing, character recognition and self- guided trolley path recognition example , the combination of theory and algorithms, for a lot of MATLAB code procedures to help readers learn how to use MATLAB language fast simulation , debugging and estimation methods algorithm. Chapter 11- Chapter 12 , are two examples of highly integrated , namely Visual C++ implementation based on neural network character recognition system and a license plate positioning system. The book Platform: |
Size: 6598656 |
Author:朱朴宁 |
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Description: 实验一：基于LMS算法的“苹果-橘子”分类问题
实验二：基于LMS算法的T-G-F字符识别问题
通过以上两个实验，了解ADALINE网络的结构及计算机制，掌握LMS算法，并会利用该算法来解决简单的模式分类问题。1， 学习ADALINE网络的基本结构及其学习机制，并在Matlab中实现
2， 分别对上述两类分类问题进行实现，并根据实验结果完成实验报告
-Experiment 1: Based on LMS Algorithm Apple- Orange classification issues
Experiment two: TGF-based character recognition problem LMS algorithm
Through the above two experiments to understand the structure and computer network system ADALINE, master LMS algorithm, and will use the algorithms to solve simple pattern classification problem.
1, learn the basic structure and learning mechanism ADALINE network and to achieve in Matlab
2, respectively, for these two types of classification problems were implemented and completed in accordance with the experimental results of test report Platform: |
Size: 40960 |
Author:glm |
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Description: 提供一种最基础的车牌识别程序，需进行以下几个基本的步骤：车牌图像预处理；车牌定位，定位图片中的车牌位置；车牌字符分割，把车牌中的字符分割出来；车牌字符识别，把分割好的字符进行识别，最终组成车牌号码。(To provide a basic license plate recognition program, the following basic steps need to be carried out: image preprocessing of license plate; Location of license plate, location of license plate in image; The character of the license plate is divided and the characters of the license plate are divided. The license plate character recognition, the segmentation good character recognition, the final component number.) Platform: |
Size: 3283968 |
Author:sunflowerioio
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Search - basic character recognition matlab