Arnold2

说明：  图像融合算法，exercise1:为基于小波变化与局部能量的图像融合方法 exercise2:为基于自适应算法的图像融合算法 myfunction1~myfunction5:为性能指标评价函数(Image fusion algorithm, exercise1: wavelet-based change and the local energy method of image fusion exercise2: adaptive algorithm based on image fusion algorithm myfunction1 ~ myfunction5: performance indicators for the evaluation function)

基于稀疏表示的卡通纹理分解程序，能完成卡通纹理的分解(The program can complete that texture based on sparse decomposition process that cartoon, cartoon texture to complete the decomposition.)

matlab中dftfilt.m文件函数源代码(Matlab dftfilt.m file function source code)

说明：  这是一个利用python里微信机器人，然后获取微信好友的照片，然后利用图像处理，把照片合成在一张照片里。(This is a use of the python Weixin robot, and then get the pictures of Weixin friends, and then use image processing to synthesize the pictures in a picture.)

用c#和emgucv实现了1.显示图像的直方图，2.直方图均衡化，3.中值滤波，4.sobel算子，roberts算子和Prewitt算子的边缘提取。各算法均自己实现不是调用函数。但是读图片的信息是用的emgucv。希望和同样刚接触emgucv的同学共同进步(With c# and emgucv achieve a 1 shows a histogram of the image, 2. Histogram equalization, 3 median filter, 4.sobel operator, edge roberts operator and Prewitt operator extraction. Various algorithms to achieve their own instead of calling a function. But reading the image information is used emgucv. The same hopes and common progress of students new to emgucv)

使用基于PCA+KNN算法实现的人脸识别，本算法的优点在于使用的是基于2DPCA的方法，计算时间更短，效率更高。(PCA+ KNN-based face recognition algorithm, the advantage of this algorithm is based on the use of 2DPCA method in calculating the time is even shorter, more efficient.)

Really is a good program, Synthetic Aperture Radar (SAR) imaging simulation target, Interpolation and fitting matlab implementation.

说明：  一个改进的自适应canny算法，该方法采用改进的开关型中值滤波器对图像做去噪工作，再把整幅图像分割为若干子图像，最后在充分考虑全局以及各子图像的边缘梯度信息后，自适应地生成动态阈值。(The new Canny adaptive method divides image into sub-images,then determinates the thresholds automatically according to the whole image edge information and the sub-images edge information.)

通过利用自动阈值法，获得图像中颗粒粒径的分布，并将粒径分布进行排序。(By using automatic threshold method to obtain the particle size distribution of the image, and the particle size distribution of the sort.)

Object Recognition with Hierarchical Kernel Descriptors,In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011.(Hierarchical Kernel Descriptors.)