包含4部分 带车牌车辆图像 分割后的车牌图像 字符识别的图像库 车牌检测的图像库：正负样本

这是本人制作的按钮，在鼠标划过时，该按钮放大，以突出显示，文件中提供了源代码，谨以抛钻引玉

这是本人制作的三角形按钮，文件中提供了源代码，谨以抛砖引玉

这是本人制作的发声数字按钮，当点击按钮时，会发出声音，将源代码一并提供，抛砖引玉

很基础一本的一本测试入门教程，现在书已绝版。 注：文件共20多M,因权限有限，分成两个压缩卷，需两个同时下载才能解压缩。

很基础一本的一本测试入门教程，现在书已绝版。 注：文件共20多M,因权限有限，分成两个压缩卷，需两个同时下载才能解压缩。

Matlab 自带的各种工具箱函数，分类列表，有中文说明 很适合打印做为编程时的工具书查找使用

如题，函数很全，有详细的分类和用法使用 打印下来，做为编程时的工具书翻阅，很好用！

此资源是书籍DIPUM配套的matlab toolbox，编者Rafael C.Gonzalez， 工具箱中为.p文件，可调用但是代码不可查看不可编辑，

本书是DIPUM的第二版，编者Rafael C.Gonzalez。 共压缩成三部分。 注意，需Part1-Part3 三部分都下载了才能解压缩。 (提醒：本书为扫描版，不算清楚，但是也来之不易) For Image and Computer Vision, Image Processing, and Computer Vision courses. This is the first text that provides a balanced treatment of image processing fundamentals and an introduction to software principles used in the practical application of image processing. A seamless integration of material from the leading text, Digital Image Processing by Gonzalez and Woods and the Image Processing Toolbox from Mathworks, Inc. This text works in the MATLAB computing environment; the Toolbox provides a stable, well-supported set of software tools capable of addressing a broad spectrum of applications in digital image processing. The major areas covered include intensity transformations, linear and nonlinear spatial filtering, filtering in the frequency domain, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions and boundary representation and description, and object recognition. From the Back Cover Digital Image Processing Using MATLAB is the first book that provides a balanced treatment of image processing fundamentals and the software principles used in their practical implementation. The book integrates material from the leading text, Digital Image Processing by Gonzalez and Woods, and the Image Processing Toolbox of the MathWorks. Inc., a recognized leader in scientific computing. The Image Processing Toolbox provides a stable, well-supported set of software tools for addressing a broad range of applications in digital image processing. A unique feature of this hook is its emphasis on showing how to enhance those tools by the development of new code. This is important in image processing, where there is a need for extensive experimental work in order to arrive at acceptable problem solutions. After an introduction to the fundamentals of MATLAB programming, the book addresses the mainstream areas of image processing. Areas covered include intensity transformations, linear and nonlinear spatial filtering, filtering in the frequency domain, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions and boundary representation and description, and object recognition.

本书是DIPUM的第二版，编者Rafael C.Gonzalez。 共压缩成三部分。 注意，需Part1-Part3 三部分都下载了才能解压缩。 (提醒：本书为扫描版，不算清楚，但是也来之不易) For Image and Computer Vision, Image Processing, and Computer Vision courses. This is the first text that provides a balanced treatment of image processing fundamentals and an introduction to software principles used in the practical application of image processing. A seamless integration of material from the leading text, Digital Image Processing by Gonzalez and Woods and the Image Processing Toolbox from Mathworks, Inc. This text works in the MATLAB computing environment; the Toolbox provides a stable, well-supported set of software tools capable of addressing a broad spectrum of applications in digital image processing. The major areas covered include intensity transformations, linear and nonlinear spatial filtering, filtering in the frequency domain, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions and boundary representation and description, and object recognition. From the Back Cover Digital Image Processing Using MATLAB is the first book that provides a balanced treatment of image processing fundamentals and the software principles used in their practical implementation. The book integrates material from the leading text, Digital Image Processing by Gonzalez and Woods, and the Image Processing Toolbox of the MathWorks. Inc., a recognized leader in scientific computing. The Image Processing Toolbox provides a stable, well-supported set of software tools for addressing a broad range of applications in digital image processing. A unique feature of this hook is its emphasis on showing how to enhance those tools by the development of new code. This is important in image processing, where there is a need for extensive experimental work in order to arrive at acceptable problem solutions. After an introduction to the fundamentals of MATLAB programming, the book addresses the mainstream areas of image processing. Areas covered include intensity transformations, linear and nonlinear spatial filtering, filtering in the frequency domain, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions and boundary representation and description, and object recognition.

本书是DIPUM的第二版，编者Rafael C.Gonzalez。 共压缩成三部分。 注意，需Part1-Part3 三部分都下载了才能解压缩。 (提醒：本书为扫描版，不算清楚，但是也来之不易) For Image and Computer Vision, Image Processing, and Computer Vision courses. This is the first text that provides a balanced treatment of image processing fundamentals and an introduction to software principles used in the practical application of image processing. A seamless integration of material from the leading text, Digital Image Processing by Gonzalez and Woods and the Image Processing Toolbox from Mathworks, Inc. This text works in the MATLAB computing environment; the Toolbox provides a stable, well-supported set of software tools capable of addressing a broad spectrum of applications in digital image processing. The major areas covered include intensity transformations, linear and nonlinear spatial filtering, filtering in the frequency domain, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions and boundary representation and description, and object recognition. From the Back Cover Digital Image Processing Using MATLAB is the first book that provides a balanced treatment of image processing fundamentals and the software principles used in their practical implementation. The book integrates material from the leading text, Digital Image Processing by Gonzalez and Woods, and the Image Processing Toolbox of the MathWorks. Inc., a recognized leader in scientific computing. The Image Processing Toolbox provides a stable, well-supported set of software tools for addressing a broad range of applications in digital image processing. A unique feature of this hook is its emphasis on showing how to enhance those tools by the development of new code. This is important in image processing, where there is a need for extensive experimental work in order to arrive at acceptable problem solutions. After an introduction to the fundamentals of MATLAB programming, the book addresses the mainstream areas of image processing. Areas covered include intensity transformations, linear and nonlinear spatial filtering, filtering in the frequency domain, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions and boundary representation and description, and object recognition.