hog-feature

图像处理实现计算信噪比功能，Image processing functions to achieve SNR calculation(Image processing functions to achieve SNR calculation)

Images of diffraction

基于DCT变换的彩色图像压缩；本程序的压缩率高，可达16+，图像恢复出来的效果较好(Color image compression based on DCT transform)

该类计算图像的主分量,特征值,特征向量,并且使用主分量重构.(The main components of such calculation of the image, feature values, feature vectors, and the use of principal component reconstruction.)

说明：  (1)利用matlab函数进行噪声模拟，并用matlab自带函数进行图像滤波。 (2)利用给定图像自己编程实现使用均值滤波器、中值滤波器对不同强度的高斯噪声和椒盐噪声，进行滤波处理，并对结果进行评价分析，并解释结果。 (3)自己编程实现laplacian算子图像的处理，实现图像增强；编程实现sobel算子对图像边缘提取。将结果与matlab自带函数计算结果比较。 (4)利用模糊处理对图的灰度值进行改变实现灰度增强，并与直方图均衡结果比较((1) Matlab function is used to simulate noise, and Matlab function is used to filter image. (2) Using the given image, we use the mean filter and median filter to filter the Gaussian noise and salt and pepper noise with different intensities, evaluate and analyze the results, and interpret the results. (3) The image processing of Laplacian operator and image enhancement are realized by programming Sobel operator is used to extract image edge. The results are compared with those of MATLAB. (4) Fuzzy processing is used to change the gray value of the image to achieve gray enhancement and balance with histogram)

在matlab环境下基于数学形态学的图像去噪，传统去噪只选用一种结构元素，去噪效果并不理想，这种去噪方法实现简单，功能强大，无论对于高斯、椒盐、维纳等噪声都去有很强的去噪效果，且算法简单。(In the matlab environment based on mathematical morphology image denoising, denoising only use traditional elements of a structure, de-noising effect is not ideal, this denoising method is simple and powerful, both for the Gaussian, salt and pepper, Wiener such noise are to have a strong denoising effect, and the algorithm is simple.)

一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒(A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP conditions for multi-scale image feature dimension reduction, and then use the naive Bias classifier simple classification in the feature reduction after the. The tracking algorithm is very simple, but the results are robust, speed can reach 40 frames per second)

Image Edge Enhancing Coherence Filter Toolbox，各向异性非线性扩散滤波器(This toolbox will perform Anisotropic Non-Linear Diffusion filtering on a 2D gray/color or 3D image. This filtering will reduce the image noise while preserving the region edges, and also enhancing the edges by smoothing along them. This is one of the more advanced image enhancement methods available, and also contains HDCS from october 2009. The result looks like an artist painted the image, with clear brush strokes along the image edges and ridges, see screen-shot. )

利用OpenCV实现单幅图片对于手指的精确识别(Single image using OpenCV to achieve precise identification of the finger)

实现稳定婚姻算法过程，可进行M个男士与N个女士的稳定配对过程(To achieve a stable marriage algorithm process, can be carried out with the M N men and women s stable matching process)