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Hyperspectral-Remote-Sensing
说明: 《Hyperspectral Remote Sensing》是一本关于高光谱遥感图像处理与应用的英文经典书籍,对于学习高光谱遥感图像的人员有很大的帮助。(" Hyperspectral Remote Sensing" is a book on hyperspectral remote sensing image processing and application of the English classics, hyperspectral remote sensing images for learning the staff is very helpful.)
- 2011-03-05 16:56:39下载
- 积分:1
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localequalisedwindowshift
This code applies local histogram equalization on an input image with a view to improve its contrast ratio. The image is read, converted to grayscale and resized with the inbuilt function of MATLAB. The window size may be changed, however, the window shift is as per size of the window. The output is definitely a better contrast image as compared to the input but checkerboard effect is evident.
- 2010-12-29 06:05:16下载
- 积分:1
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121212
matlab fan daomatlab仿真代码(matlab fan dao)
- 2011-05-13 08:33:17下载
- 积分:1
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1
说明: 很实用的matlab程序,希望大家能够给予多多的关注和支持 ,谢谢(Very useful matlab
)
- 2012-04-11 13:56:53下载
- 积分:1
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New-WinRAR-ZIP-archive
matlab program for digital communication
- 2013-03-05 00:15:49下载
- 积分:1
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Grey-method
灰色预测方法,重点讲解的灰色预测的基本理论和详细实现方案,给出了5个用matlab编好的灰色预测程序的实现。(Grey prediction method to highlight the basic theory of gray forecast and detailed implementation gives five good gray prediction using matlab program implementation.)
- 2013-12-21 20:40:34下载
- 积分:1
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New-Folder
i need matlab codes for this documents on electronics
- 2012-02-06 11:25:55下载
- 积分:1
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Blurring
使用MATLAB进行编程,对相应的图片进行模糊处理(blurring the pictures)
- 2015-04-08 19:50:56下载
- 积分:1
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80211aPmimo
This file is 802.11a+mimo system based on matlab simulink.
Which contains nine mdl files, is what I do MIMO-OFDM find papers are available are welcome to download.
This will work in Matlab 2006b.
- 2013-09-04 13:22:11下载
- 积分:1
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Edge-based-text-region-extraction-from-natural-im
The basic steps of the edge-based text extraction algorithm are given below
1. Create a Gaussian pyramid by convolving the input image with a Gaussian kernel
and successively down-sample each direction by half. (Levels: 4)
2. Create directional kernels to detect edges at 0, 45, 90 and 135 orientations.
3. Convolve each image in the Gaussian pyramid with each orientation filter.
4. Combine the results of step 3 to create the Feature Map.
5. Dilate the resultant image using a sufficiently large structuring element (7x7 [1])
to cluster candidate text regions together.
6. Create final output image with text in white pixels against a plain black
background.
- 2014-12-16 02:56:28下载
- 积分:1