暗通道

图像分割 自适应阈值法，otsu法，区域生长法，最大熵法，贝叶斯法，kMeans法，MeanShift法。(Adaptive threshold image segmentation method, otsu method, region growing method, the maximum entropy method, Bayesian method, kMeans law, MeanShift law.)

通过对于CT图像的读取来进行三维的脑部显示，有助于学习基于matlab的CT图像三维重建过程(Conducive to learning through the reading of CT images to three- dimensional brain display matlab- based CT image 3D reconstruction process )

用matlab编写的图像恢复程序，实现压缩后图像的恢复()

压缩感知，稀疏表示采用小波基表示，压缩测量采用随机高斯矩阵，重构算法是omp重构(Compressed sensing, sparse representation using wavelet representation, compression measurements using random Gaussian matrix remodeling reconstruction algorithm is omp)

在图像传输时，常常需要对图像进行压缩，这些代码用来对图像进行压缩编码。(In the image transmission, it is often the need for image compression, the code used to image compression.)

图像旋转的MATLAB文件，角度可以定义，例子中包含了M源程序以及转换的图片。(MATLAB file image rotation, angle can be defined, for example, contains M as well as the conversion of the image source.)

contourlet 区域统计法，进行图像融合(contourlet regional statistical method for image fusion)

基于ART算法的CT图像重建 刚找到的，不知能不能用(CT image reconstruction based on ART algorithm)

L0梯度最小化算法，2011年由xuli提出的算法(L0 gradient minimization algorithm, in 2011 xuli put forward the algorithm )

说明：  ：在深海采矿环境中超声波传输介质里存在着大量气泡、扰动沉积物、机械噪声等背景噪声与混响，导致有用信号与高 噪声信号迭加在一起，严重影响了测距精度。采用小波分析方法将超声回波信号进行3层小波分解，适当设置门限阈值对小波 系数进行处理，然后对信号进行重构，有效地抑制了信号中噪声对测量精度的影响。研究结果表明：小波方法有很好的降低回 波信号中噪声的效果，其测距精度高于自适应滤波去噪后的测距精度。(There are much background and mixture noise in the course of ultrasonic wave transmission under deep sea mining environment，such as air bubbles and disturbed sediment and mechanical noise．Because of these factors， the useful signals and the high noise signals are combined together，which seriously affects the distance measurement precision．Ultrasonic echo signals are decomposed into three layer wavelets，and a threshold is set to process the wavelet coeficients．Then the signals are reconstructed．Accordingly the influence of environment noise on distance measurement precision is effectively restrained．Research resuhs indicate that wavelet transform method is very useful for noise reduction in signals．Its precision is higher than that of the adaptive filtering method．)