regiongrowing

3D shape reconstruction matlab code. It used shape from defocus technique with diffusion. You can reconstruct 3D shape with only two different depth images.

该文件实现了将医学图像从dicom格式转换为bmp格式，是医学图像处理中至关重要的一步。(The document will be achieved medical images from dicom format to bmp format medical image processing is a crucial step.)

surf算法，实现特征点检测和匹配.文件内有两个图像匹配实例(surf algorithm, feature point detection and matching)

lms算法演示，自适应信号处理授课内容，画出学习曲线，MATLAB程序(lms algorithm presentation, adaptive signal processing lectures, to draw the learning curve, MATLAB program)

I think this file can be used to filter the latent state variable(used to filter the latent state variable)

Logistic Regression Classifier

Edge detection in microscopy images using curvelets

i am uploading the code for convolution in matlab

实现9/7小波正反变换 注1： 采用标准正交方法，对行列采用不同矩阵（和matlab里不同） 注2： 为了保证正交，所有边界处理，全部采用循环处理 注3： 正交性验证，将单位阵带入函数，输出仍是单位阵（matlab不具有此性质） 注4： 此程序是矩阵实现，所以图像水平分量和垂直分量估计被交换位置 注5： 此程序实现的是类小波（wavelet-like）变换，是介于小波包变换与小波变换之间的变换 注6： 此程序每层变换相对原图像矩阵，产生的矩阵都是正交阵，这和小波包一致 注7： 但小波变换每层产生的矩阵，是相对每个待分解子块的正交矩阵，而不是原图像的正交矩阵 注8： 且小波变换产生的正交矩阵维数，随分解层数2分减少 注9: 提升系数可以在MATLAB7.0以上版本，用liftwave( 9.7 )获取，这里直接给出，考虑兼容性 注10：由于MATLAB数组下标从1开始，所以注意奇偶序列的变化 注11：d为对偶上升，即预测；p为原上升，即更新(Note 1: The standard orthogonal method, the ranks of the different matrices (and matlab where different) Note 2: In order to ensure orthogonality, all boundary treatment, all with recycling Note 3: Orthogonal validation, the identity matrix into the function, the output is still the unit matrix (matlab does not have this property) Note 4: This program is a matrix to achieve, so the image horizontal and vertical components is estimated to be swapped Note 5: This class implements the wavelet (wavelet-like) transformation, is between the wavelet packet transform and wavelet transform between Note 6: This procedure transforms each image relative to the original matrix, the resulting matrix are orthogonal matrix, consistent with this and wavelet packet Note 7: But each generation wavelet transform matrix, is to be broken down for each sub-block relative to the orthogonal matrix, rather than the original image of the orthogonal matrix Note 8: Wavelet transf)

对数据集特征压缩，用样本熵的方法进行压缩，简单，易懂，matlab程序源代码(Compressed data set characteristics, sample entropy compression, simple, understandable, matlab program source code)