Description: 我是一个图象处理的初学者,用MATLAB语言编写了一些内部的函数,实现了图象处理的功能,比如entropy,laplician,otsu,top-hat等-image processing is a beginners MATLAB language some internal functions, achieving image processing functions, such as entropy, laplician, Otsu, top-hat, etc. Platform: |
Size: 2736478 |
Author:史振志 |
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Description: matlab图像处理命令，集中了matlab图像处理函数,对初学者很由帮助.-Matlab image processing orders, concentrated Matlab image processing function, right from the very beginners to help. Platform: |
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Author:fxd |
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Description: 我是一个图象处理的初学者,用MATLAB语言编写了一些内部的函数,实现了图象处理的功能,比如entropy,laplician,otsu,top-hat等-image processing is a beginners MATLAB language some internal functions, achieving image processing functions, such as entropy, laplician, Otsu, top-hat, etc. Platform: |
Size: 2736128 |
Author:史振志 |
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Description: 《MATLAB 6.5辅助图像处理》
本书是基于MATLAB 6.5的图像处理工具箱v3.2 （Image Processing Toolbox）编写的，较全面系统地介绍了图像处理工具箱v3.2函数在有噪和退化图像的恢复、图形绘制、图像几何变换、图像增强、二值分析、小波分析和分形几何用于图像处理，以及图形用户界面设计等方面的工程实际应用。全书侧重于图像处理工具箱在工程中的具体应用，通过具体的分析和详细的实例，读者不仅可以对MATLAB图像处理工具箱函数的强大功能有一个深刻了解，更能学会正确运用它快速解决实际问题的方法，从而提高分析问题和解决问题的能力。飞思在线http://www.fecit.com.cn“下载专区”提供书中范例源代码。
本书内容全面新颖、针对性强，理论与实际紧密结合，可供从事图像处理相关工作的教师、高年级本科生、研究生和广大科研人员参考。
-"MATLAB 6.5 support image processing," the book is based on MATLAB 6.5 of Image Processing Toolbox v3.2 (Image Processing Toolbox) Prepare, a more comprehensive system to introduce the Image Processing Toolbox v3.2 function in a noisy and the restoration of degraded images, graphics rendering, Image geometry transform, image enhancement, value analysis, wavelet analysis and fractal geometry for image processing, and the graphical user interface design, so the practical application of engineering. The book focused on Image Processing Toolbox works in the concrete application, through specific and detailed analysis of the examples, readers can not only on MATLAB Image Processing Toolbox function of the powerful have a deep understanding, better learn how to correctly apply it quick Platform: |
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Author:xinxin |
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Description: 如何在图像中加入某一固定snr的噪声？分类:matlab与图像处理
在利用matlab做一些自己算法的抗噪分析中，常常会遇到这个问题，matlab中的加噪函数是imnoise，里面的参数是噪声的均值，方差（高斯噪声）或者是感染概率（椒盐噪声），参数不能是snr值，但是很多国外的文章的噪声分析中都是用snr值来衡量加入噪声的程度的-how the image to a fixed snr noise? Categories : Matlab and image processing using Matlab to do some of his own anti-noise algorithm analysis, will often encounter this problem, which Matlab the noise function is imnoise. inside the parameters of the noise mean and variance (Gaussian noise) or the probability of infection (Impulse Noise) Parameter values can not be snr, But many foreign article noise analysis is used to measure the value snr joined the extent of noise Platform: |
Size: 2048 |
Author:顶替 |
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Description: digital image processing using matlab, 这里有许多程序员编的函数，以及一些具体的例子，怎么来应用这些函数实现图像处理-digital image processing using matlab, here there are many programmers made a function, as well as some specific examples, how to apply these functions to achieve image processing Platform: |
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Author:方文利 |
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Description: M a t l a b 在图像处理中应用的各种函数集，做图像处理的查询很方便-M atlab applications in image processing various function sets, the query to do image processing easily Platform: |
Size: 28672 |
Author:wang |
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Description: 图象处理算法,一种基于小波变换的图象融合算法,以函数的形式给出,肯定能用
-Image processing algorithms, wavelet transform based image fusion algorithm in order to function the form is given, certainly can Platform: |
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Author:陈超 |
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Description: 本实验要求编写一个计算图像直方图的程序并要求讨论直方图均衡化技术，最后对图3.8（a）进行均衡化处理。直方图是多种空间域处理技术的基础，直方图操作能有效的用于图像增强。在实验中根据直方图对应的离散函数可以编写出计算一个图像直方图的函数，直方图均衡化则是借助于直方图灰度变换实现灰度映射从而达到图像增强的目的。实验通过得到原始图像的直方图，直方图均衡化变换函数图和增强后的图像增强后图像的直方图这些实验数据来解释图像被增强的原因。-In this study requested to prepare a procedure for calculating the image histogram and asked to discuss histogram equalization technology, the last of Figure 3.8 (a) a balanced treatment. Histogram is a variety of spatial processing technology foundation, histogram operation can be effective for image enhancement. In the experiment under the histogram corresponding discrete function can be calculated to prepare an image histogram function, histogram equalization is a means of gray-scale transformation to achieve gray histogram mapping so as to achieve the purpose of image enhancement. Experiments have been the original image through the histogram, histogram equalization transformation function maps and enhanced image after image enhancement histogram of these experimental data to explain the reasons for the image was enhanced. Platform: |
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Author:jhm |
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