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: 此设计要求能够实现将医学图像进行识别的过程，包括了图像预处理、图像特征提取及分类判决三大模块。在预处理这一步中主要实现的是将彩色图像转换为灰度图像，灰度图像的二值化，直方图修正，去除干扰、噪声以及差异，边缘增强等；第二模块是图像的特征提取。由于对象的物理与几何特性差异，在影像中表现为局部区域的灰度产生明显变化，形成影像特征，而图像特征提取就是对其进行加工、整理、分析、归纳以便提取构成目标影像的特征，得到能反映图像内容区别于其他事物的本质特征；分类判决作为第三模块，则是要在第二步的基础上采用某种分类判别函数与判别规则，通过对目标特征的分析和匹配来识别目标。-this design requirements to achieve medical image identification process, including the image preprocessing, Image feature extraction and classification ruling three modules. This pretreatment step in the main achievement of the color image is converted to grayscale images, the two gray-scale image value, histogram amendment to remove interference and noise variance Edge Enhancement; the second module is the image feature extraction. Because of the physical objects with geometric characteristics difference in the images showed local area Gray significant changes, the video features, feature extraction and image is its processing, compilation, analysis, summarized in order to extract constitute the target image features can be reflected image as distinct from the other characteristics of th Platform: |
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Author:uhih |
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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: 此程序完成了SSR算法，实现的对比度下的医学图像增强。
可以实现的程序！-this procedure completed the SSR algorithm, and the contrast of the medical image enhancement. The procedure can be achieved! Platform: |
Size: 10240 |
Author:张甲杰 |
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Description: 基于对尺度的MSR算法的医学图像增强算法。
调试可以通过
对于低对比度的医学图像有很好的效果！-scale based on the MSR algorithm of medical image enhancement algorithms. Debugging through the low-contrast image has good results! Platform: |
Size: 19456 |
Author:张甲杰 |
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Description: 在课程设计中，利用小波变换实现了医学图象对比度的增强-in curriculum design, the use of wavelet transform of the medical image contrast enhancement Platform: |
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Author:lipei |
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Description: 图像增强 处理实现医学图像的增强 用各种方法-Deal with the realization of image enhancement medical image enhancement using various methods Platform: |
Size: 16384 |
Author:wang |
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Description: 本文借助多尺度分析为手段，
研究医学图像配准与融合过程中医学图像的增强、插值、配准、融合和分割等
关键问题的理论方法研究，扩展了尺度的含义，使其不再局限在通常的小波分
析和形态学两个方面。-In this paper, using multi-scale analysis as a means to study the medical image registration and fusion process of medical image enhancement, interpolation, registration, integration and division of such key issues as the theoretical study of the meaning of the expansion of the scale so that it no longer confined to wavelet analysis in the usual two aspects and morphology. Platform: |
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Author:媛媛 |
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Description: 提供了图像增强技术在医学方面的应用及算法，并实现了普通中值及自适应中值图像增强的不同效果，有Matlab代码-Provides image enhancement in medical applications and algorithms, and to achieve the common value and the adaptive value of different image enhancement effect has Matlab code Platform: |
Size: 3544064 |
Author:Amanda Jing |
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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: 基于直方图的医学图像增强系统设计
有源程序，可能需要比较新的matlab才能打开-Histogram-based medical image enhancement system design source, you may need a new matlab to open Platform: |
Size: 1116160 |
Author:ben |
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Description: [IOVS]2011 Shadow Removal and Contrast Enhancement in OCT Images of the Human Optic Nerve Headl的实现matlab代码，医学图像增强-[IOVS] 2011 Shadow Removal and Contrast Enhancement in OCT Images of the Human Optic Nerve Headl realization of matlab code medical image enhancement Platform: |
Size: 1024 |
Author:belle |
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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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Search - medical Image enhancement matlab