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: live-wire是一种常用于医学图像的交互式分割方法,其基本思想是利用动态规划方法产生图像中给定两点间的最优路径,合理地构造代价函数和选择起始点和目标点,用以提取物体的边缘,十分有效,该份文件中包含说明文件,操作方便.-live-wire is a common medical images in the interactive segmentation method, The basic idea is to use dynamic programming methods to image the scheduled 2:00 optimal path, reasonable price structure and function selection threshold and goals, to extract objects on the verge of a very effective The document includes documentation, easy operation. Platform: |
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Author:陈正文 |
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Description: 通过高斯滤波器滤出高斯曲面作为阈值分割dicom医学图像-through Gaussian filter out the Gaussian surfaces as a threshold of medical image segmentation dicom Platform: |
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Author:刘赫儿 |
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Description: 医学外周学图片白细胞核的分割算法,能准确的分割出细胞核-Medical school picture of peripheral white cell nucleus segmentation algorithm can be accurate segmentation of the nucleus Platform: |
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Author:张凯 |
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Description: 图象分割主要关于的是简单去边框和背景
主要对象是黑白的医学处理图片-Image segmentation is mainly concerned with a simple border and background to the main target is the black-and-white picture of the medical treatment Platform: |
Size: 39936 |
Author:yutanghua |
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Description: 本方法是对二维医学图像实现的Walsh变换,属于预处理范围,为下一步的图像分割,配准等打下基础-This method is the realization of two-dimensional medical images of the Walsh transform, belong to the scope of pre-treatment, for the next phase of image segmentation, registration, etc. to lay the groundwork Platform: |
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Author:hujin |
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Description: 自己用水平集方法编的,实现了医学图像的分割,效果不错,可试一下-Their allocation by level set method, and realize the medical image segmentation, the effect good, can try Platform: |
Size: 64512 |
Author:许流芳 |
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Description: 图像分割在医学图像,智能识别上的应用,虹膜识别-Image segmentation in medical imaging, intelligent recognition on the application of iris recognition Platform: |
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Author:林小彬 |
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Description: 介绍医学图像分割的现状,对已有方法进行总结。概括全面,视角独特。是医学图像处理入门者的很好教科书。-Introduce the current status of medical image segmentation, summary of existing methods. Summary of a comprehensive, unique perspective. Medical image processing is a good beginners textbook. Platform: |
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Author:萧然 |
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Description: 医学图像分割水平及方法理论书籍《Level Set Methods and Dynamic Implicit Surfaces》代码-Medical image segmentation level of theory and methodology of the book Platform: |
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Author: |
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Description: 用matlab实现的医学图像分割算法,(分割最佳阈值的迭代算法)代码, 可适合初学者使用,并有图。-Using matlab to achieve the medical image segmentation algorithm, (partition optimal threshold of iterative algorithm) code which may be suitable for beginners to use, and map. Platform: |
Size: 28672 |
Author:李敏 |
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Description: 基于水平集的医学图像分割算法,可以很好的分割医学图像,尤其对CT图像有较好的效果-Level set based segmentation of medical images, medical image segmentation can be very good, especially on the CT image has a better effect Platform: |
Size: 64512 |
Author:Carnegie |
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Description: 医学图像分割的实验报告(包含源程序),主要内容包括:不同算子(Sobel、Prewitt、Roberts、Laplacian)的边缘提取效果分析;阈值分割;以及watershed方法的分割讨论。-The implementation and discussion for fundamental medical image segmentation algorithms, including edge extracting algorithm, thresholding methods and watershed method. Platform: |
Size: 614400 |
Author:nancy |
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Description: 图像分割是图像分析的关键步骤,而水平集方法是图像分割的一项热门方法,它有着许多算法不具有的优点,尤其可用于分割背景复杂信息难以提取的医学图像。这里是一些水平集分割图像的matlab的实现例子,希望可以帮到大家。(Image segmentation is the key step of image analysis, while the level set method is a popular image segmentation method, it has many advantages that the algorithm does not have, especially can be used for medical image segmentation of complex background information is difficult to extract. Here is some level set segmentation image matlab example, I hope we can help you.) Platform: |
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Author:水滴123
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