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非常适合计算机视觉方面的研究使用,包括四元数的各种计算,算法优化非常好，几乎没有循环。( Very suitable for the study using computer vision, Including quaternion various calculations, Algorithm optimization is very good, almost no circulation.)

为了研究植物的生长规律，应用数字摄影图像处理法对山楂叶面积进行无损测量，该方法采用数码相机在田间获取山楂叶子的数字图像，对所拍图像进行背景去除、二值化及中值滤波处理，然后利用Matlab软件编程．快速计算出叶子的面积。把这一面积同常用的叶纸称重法所测面积进行比较．结果基本相同，由此可见，数字摄影图像法测量叶面积，具有简单、准确、方便快捷的特点．这对数字农业的植物信息快速采集和利用具有重要的意义。 ( In order to study the growth pattern of plants, the application of digital photography and image processing method for nondestructive measurement of hawthorn leaf area, this method using a digital camera to obtain digital images of hawthorn leaves in the field, on the film image background removal, binarization and medianfiltered, and then using the Matlab software programming. Quickly calculate the area of the leaves. This area with the common leaf paper weighing measured by the area to compare. The results are basically the same, shows, digital photographic images method to measure leaf area, with a simple, accurate, and convenient features. This rapid acquisition and use of digital agricultural plant is of great significance. In order to study the growth pattern of plants, the application of digital photography and image processing method for nondestructive measurement of hawthorn leaf area, this method using a digital camera to obtain digital images of )

无极卡尔玛滤波在6维状态非线性目标跟踪中的应用，代码不错哦！(Promise Kalmar Nonlinear Filtering in the six-dimensional target tracking application, the code is good oh!)

一种基于小波分析的彩色图像融合方法，需要同一场景的红外与夜视各一张，同时选取任意场景合适的彩色照片作为参考图像(A color image fusion method based on wavelet analysis, infrared and night vision needs each one of the same scene, the scene at the same time any suitable color photo as a reference image)

说明：  基于DCT和DWT的数字水印技术，可对图像进行DCT和DWT变换(Digital watermarking technology based on DCT and DWT can transform image into DCT and DWT)

基于NSCT的几种图像融合算法，并对算法的性能作了比较，该代码有详细的说明。(Several image fusion algorithm based on NSCT, and compares the performance of the algorithm, the code is described in detail.)

梯度下降法的图形表示，里面有详细的中文注释，运行即可看到结果。(Gradient descent graphical representation, which the Chinese have detailed notes, you can see the results running.)

击中和击不中变换，可以很好的找出想要的图像，对图像识别和分割有很好的帮助(miss or not miss)

这是一个非常经典的特征提取算法，matlab写的2DPCA源码(This is a very classical feature extraction algorithm 2DPCA, matlab source code)

基于SIFT的一种新特征点匹配算法,比SIFT还强,(Based on SIFT feature points of a new matching algorithm is also stronger than the SIFT,)