multiimagepocs

图像分割，显著性算法的precision，recall 和ROC的评价指标计算。(Image Segmentation, significant precision,recall and ROC assessment index calculation algorithm.)

基于线性正则变换与菲涅尔变换的图形加密方法，实现广义线性正则变换的加密解密过程。(Based on linear canonical transformation and Fresnel transform graphics encryption methods, implementation of generalized linear canonical transformation encryption decryption process. )

说明：  1.学习使用fft2,ifft2,fftshift,ifftshift函数。用fft2函数对”lena.bmp”做二维傅立叶变换，并显示其频谱，用fftshift函数将频谱坐标原点移动到图像中心。用ifft2函数做傅立叶反变换。（提示：显示频谱时，可以先对频谱取对数，这样可以压缩动态范围很大的频谱，获得更好的显示效果）(1. Learn to use fft2, ifft2, fftshift, ifftshift functions. With the FFT 2 function, the lena.bmp'The two-dimensional Fourier transform is performed and the spectrum is displayed. The origin of the spectrum coordinate is moved to the center of the image by using the FFT shift function. The inverse Fourier transform is done with ifft2 function. (Note: when displaying the spectrum, the logarithm of the spectrum can be taken first, so that the spectrum with a large dynamic range can be compressed to obtain better display effect.))

基于小波模极大值算法来实现信号去噪，这是一维去噪程序代码。(Wavelet modulus maxima algorithm to achieve signal de-noising, which is one-dimensional de-noising procedure code.)

说明：  一些快速实现图像模糊增强的的demo，matlab源码。已经测试通过。(Some image blurring rapidly enhanced the demo, matlab source. Have the test.)

实现图像的二阶巴特沃斯(Butterworth)低通、高通滤波器，高斯低通、高通滤波器(Butterworth LPF、Butterworth HPF、Gaussian LPF、Gaussian HPF)

说明：  计算全息算法，使用matlab算法计算出图像的相位分布(Computational holographic algorithm)

以混合高斯模型为基础，利用背景差分法获得目标图像并有阴影检测的方法进行目标检测(The Gaussian mixture model based on the use of the background difference method to obtain the target image and a shadow detection method for target detection)

用matlab编写的图像恢复程序，实现压缩后图像的恢复()

全变分去噪 J=tv(I,iter,dt,ep,lam,I0) 输入: I - 灰度图像, iter - 迭代次数 [1], dt - 时间步长 [0.2], ep - 提升参数epsilon [1], lam - 保真项 lambda [0], I0 - 输入噪声图像 [I0=I] ([]中的是缺省值)( 全变分去噪 J=tv(I,iter,dt,ep,lam,I0) 输入: I - 灰度图像, iter- 迭代次数 [1], dt - 时间步长 [0.2], ep - 提升参数epsilon [1], lam - 保真项 lambda [0], I0 - 输入噪声图像 [I0=I] ([]中的是缺省值))