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MATLAB
说明： matlab的基本教程，挺实用，希望对大家有帮助(matlab Tutorial)
- 2011-04-16 00:37:05下载
- 积分：1
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pcnn
这是pcnn用于边缘检测的matlab源代码，希望对大家有用。(edge detection for the Matlab source code, we hope that the right useful.)
- 2007-02-03 00:07:29下载
- 积分：1
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Matlab_FEM_Program_Code
说明： 结构有限元，基本梁单元、板单元等，线性计算(structure FEM program)
- 2010-04-28 16:59:15下载
- 积分：1
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Tricubic
It is a three dimensional interpolation with tricubic convolution interpolation,which is the method used in Matlab.But, it is more useful and faster the the code implement by Matlab.
- 2010-05-14 20:34:58下载
- 积分：1
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Matlab_GUI_HIT_Guidebook
Matlab交互式程序设计教程及举例，含有界面截图及详细说明的教学文档。(Matlab interactive programming tutorials and examples, contains screen shots and detailed description of the teaching document.)
- 2013-03-20 10:11:46下载
- 积分：1
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LSBTest
将一张图片嵌入到另一张图片中，并提取出来(LSB 算法)(Embed a picture into another picture, and extracted it (LSB algorithm))
- 2013-04-06 16:31:18下载
- 积分：1
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plotfit2
多项式二次曲线拟合程序！用于实验设计！另有画图函数并且可以进行方差分析1(quadratic polynomial curve fitting procedures. For the experimental design! Another drawing functions can be carried out an analysis of variance)
- 2007-06-19 20:05:21下载
- 积分：1
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2-1-3matlab
matlab仿真通过的2 1 3卷积编译码(213 convolutional encoding and decoding matlab simulation by)
- 2012-08-14 11:13:48下载
- 积分：1
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MATLAB
MATLAB教程，希望很有用,很好的使用教程(MATLAB tutorial, I hope useful, very good tutorial)
- 2013-11-01 15:59:31下载
- 积分：1
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Infrared-Image-Enhancement
针对基于小波变换的红外图像增强方法视觉效果不够理想的缺点, 提出了一种基于平稳小波变换和Retinex 的红外图像增强方法, 利用Retinex 增强算法增强图像的视觉效果, 并改善其亮度均匀性。首先, 对红外图像经平稳小波变换后的最大尺度低频子带图像进行多尺度Retine x 增强 然后, 利用贝叶斯萎缩阈值法对高频子带图像进行阈值去噪, 并根据低频子带图像的局部对比度和模糊规则计算高频子带的增益系数, 从而得到增强后的高频子带图像 最后, 由低频子带图像和高频子带图像重构得到增强后的图像。针对大量图像进行了实验和增强效果的定性与定量评价, 并与双向直方图均衡法、二代小波变换法、Curvelet 变换法和多尺度Retinex法作了比较。结果表明, 所提出的方法增强了图像细节, 抑制了噪声, 并明显改善了图像的整体视觉效果。(As infrared image enhancement method based on wavelet transformation has the problem of unperfect visual effect , and Retinex enhancement algorithm can enhance visual effect of the image by improving brightness uniformity , amethod based on stationary wavelet transformation and Retinexis proposed.Firstly , the infrared image is decomposed into high-frequency detail and low-frequency approximation components at various resolutions, and the low frequency subband image of the largest scale is enhanced by multiscale Retinex algorithm.Then, the highfrequency subband images are denoised by Bayesian shrinkage method, and the gain coefficients of high-frequency subbands are available by calculating the local contrast of the enhanced low-frequency subband based on fuzzy rules to get the enhanced high-frequency subband images .Finally, the enhanced image is reconstructed by the low-frequency subband and high-frequency subbands .Experiments with qualitative and quantitative uation are carried ou)
- 2021-04-29 11:58:44下载
- 积分：1
