readhdf

输入两幅大小等已配准相同的图像，计算两幅图像的结构相似度，可以应用于图像各种处理，基于人类视觉，是一个很好的图像相融合质量评价效果(Enter two sizes, etc., have the same image registration, two images to calculate structural similarity, may be applied to a variety of image processing based on human vision, it is a very good image quality uation of the effect of integration)

canny边缘检测的matlab实现，用到了基于Otsu算法的自适应阈值选取(canny edge detection)

说明：  recon基于双视图的人脸特征三维重建，一个视图为正投影，另一个是水平方向旋转，假定正交投影模型，getfeature用于从图像上标记特征点(facial feature reconstruction based on two views)

基于Hessian矩阵对输入的心血管图像进行增强和分割(The input cardiovascular images are enhanced and segmented based on the Hessian matrix)

有关改良Canny算法的一些还算可以的文献(Improved Canny algorithm on some literature.)

近似熵算法对脑电信号进行特征提取的一些材料(Some materials approximate entropy algorithm for EEG feature extraction)

说明：  基于JPEG的图像压缩，觉得可用，同学的毕业设计作品(Based on the JPEG image compression that can be used, students design the graduation)

此代码从局部上来使用直方图均衡来达到增强图像的目的，非常的好，而且已经调试好了无差错(This code from the local authorities to use histogram equalization to achieve the purpose of enhanced images, very good, and has good debugging error-free)

基于互信息的图像配准源代码，，采用粒子群优化算法可直接使用。 (Based on mutual information image registration source code, using particle swarm optimization algorithm can be used directly.)

说明：  当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。( This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood Estimation for Ill-Posed Problems", "Tikhonov Regularized Poisson Likelihood Estimation: Theoretical Justification and a Computational Method", "An Efficient Computational Method for Total Variation with Poisson Negative-Log Likelihood", "An Analysis of Regularization by Diffusion for Ill-Posed Poisson Likelihood Estimation," "An Iterative Method for Edge-Preserving MAP Estimation when Data-Noise is Poisson", and finally, "Regularization Parameter Selection Methods for Ill-Posed Poisson Maximum Likelihood Estimation". See my publications page for more details. The main algorithm is for nonnegatively constrained, regularized Poisson likelihood estimation. At this point you can choose Tikhonov, total variation regularization, and diffusion regularization. A number of other methods are also implemented. Regularizatio)