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main
图像亮度和对比度调节，已验证，分别有亮度调节和对比度调节的调整框(Image brightness and contrast adjustment, has been verified, respectively, brightness adjustment and contrast ad)
- 2017-03-26 20:25:06下载
- 积分：1
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muller
求解图像的穆勒矩阵及其极分解矩阵，还有矩阵分析参数(Muller matrix and polar factorization matrix for solving image)
- 2017-07-02 10:01:33下载
- 积分：1
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som-source
基于MATLAB的SOM神经网络设计源程序(MATLAB-based SOM neural network design source)
- 2006-08-06 14:21:13下载
- 积分：1
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wenlituxiangjiansuo
基于纹理的图像检索源码，用matlab实现的，用于学习研究(Texture-based image retrieval source code, using matlab to achieve, for study and research)
- 2008-03-01 16:55:13下载
- 积分：1
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image-processing
应用傅立叶变换对图像处理，实现查看图像的功率谱，以及功率谱经过巴特沃斯高通、低通和高斯高通、低通滤波器后图像的功率谱，再把功率谱还原为图像的功能。(Fourier transform for image processing, see the image of the power spectrum, and the power spectrum after Butterworth high-pass, low-pass and high-pass Gaussian low-pass filter of the image after power spectrum, and then restore the power spectrum of the image.)
- 2020-10-30 16:09:56下载
- 积分：1
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tuxiangchuli
对二维码图像进行灰度化、中值滤波、二值化、边缘检测、霍夫变换等预处理(The two-dimensional code image is grayscale, median filter, two valued, edge detection, Hough transform and other pre-processing.)
- 2018-05-02 14:08:49下载
- 积分：1
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J2KLib
Jpeg2000静态库，只需Encoder和Decoder两个函数轻松搞定Jpeg2000和Bitmap的转换，带示范程序，非常有用(Jpeg2000 static libraries, Encoder and Decoder only two functions easy to get and Bitmap Jpeg2000 The change model procedures with very useful)
- 2020-07-13 17:28:52下载
- 积分：1
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toolbox_signal
curvelet transform and ridgelet transform source code
- 2012-09-13 20:00:59下载
- 积分：1
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nano 13 eng
approche hybride firefly et k-mens pour la classification des image sat
- 2017-06-24 04:37:15下载
- 积分：1
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pcacode
程序设计步骤：
1、去均值
2、计算协方差矩阵及其特征值和特征向量
3、计算协方差矩阵的特征值大于阈值的个数
4、降序排列特征值
5、去掉较小的特征值
6、去掉较大的特征值(一般没有这一步）
7、合并选择的特征值
8、选择相应的特征值和特征向量
9、计算白化矩阵
10、提取主分量(Programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction)
- 2008-07-14 16:25:23下载
- 积分：1
