C_V

ICA用于图像特征提取 通过定义一个衡量分量独立性和非高斯性的目标函数来实现的(ICA for image feature extraction components by defining a measure of independence and non-Gaussian nature of the objective function to be achieved)

该程序为一个小型的检索系统，通过提取颜色、边缘等特征进行图片检索。(The program is a small search system that retrieves images by extracting features such as colors and edges.)

波包生成函数，适用于初学者对小波的理解，很实用(Wave packet generation function, for beginners to understand the wavelet, it is practical)

说明：  Matlab实现自适应Huffman哈夫曼编码，这个Matlab实现的程序，实现用于一维8位或16位整数数组的自适应Huffman哈夫曼编码。(err)

以心电信号检测为例，通过小波模极大值奇异性检测和求取Lipschitz指数确定心电信号R波的位置(Taking the ECG signal detection as an example, the position of the R wave of the ECG signal was determined by the singularity detection of the wavelet modulus and the Lipschitz index)

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)

一种简单的代数重建算法，用于CT图像二维重建，供初学者学习使用。(A simple algebraic reconstruction algorithm, used in CT image reconstruction, for beginners learning to use.)

C++和halcon结合，用于图形处理时进行三相机标定(C++ and halcon combined for three camera calibration)

Image enhancement is a processing on an image in order to make it more appropriate for certain applications. It is used to improve the visual effects and the clarity of image or to make the original image more conducive for computer to process. Contrast enhancement changing the pixels intensity of the input image to utilize maximum possible bins. We need to study and review the different image contrast enhancement techniques because contrast

matlab上面自动实现相机校准标定的一个工具库(Matlab toolbox for multiphase calibration can realize automatic calibration)