splitmerge

说明：  根据：基于不变矩特征和神经网络的图像模式模糊分类 论文 在matlab上做的实验，有7个不变矩生成和神经网络分类的代码，还要论文原文(According to: Based on the characteristics of moment invariants and neural network image mode fuzzy classification papers in matlab to do the experiment, there are seven moment invariants and neural network classifier to generate the code, but also the original papers)

说明：  mean shift 算法用于目标跟踪,其中有4个文件.(mean shift algorithm for target tracking, including four documents.)

说明：  该程序用正交矩zernike7和空间矩spatial5对图像进行亚像素提取(The program and space with the orthogonal moments zernike7 moment spatial5 on Subpixel image)

此程序为区域增长经典算法，程序后面有详细注释(This procedure is a classical algorithmfor the regional growth,the procedure followed in detail the Notes)

两个图像质量评价函数，psnr峰值信噪比，正则均方误差nmse，能可用于去噪图像和压缩图像的质量评价，很有用啊。(Two image quality evaluation of the function. Including psnr PSNR, it is mean-square error nmse other. Images can be used for de-noising and compression of image quality evaluation.)

一本讲述计算机图像和视频实时处理的好书。包括基本概念，硬件，软件，和算法。 (A book about real-time image and video processing, including basic concepts, hardware, software, and algorithms.)

压缩感知重构算法，正交匹配投影算法，一维信号重建(Compressed sensing reconstruction algorithm, orthogonal matching projection algorithm, one-dimensional signal reconstruction)

说明：  用C++实现的对数变换达到图像增强效果，代码亲测可用(Logarithmic transformation realized by C++ achieves image enhancement effect, and code pro-test is available.)

两个l1准则下的噪声干扰信号压缩感知重构举例，两个例子的稀疏矩阵均为DCT矩阵，而观测矩阵分别采用单位阵和随机矩阵，有详细的步骤和使用方法，适用于初步的学习压缩感知方法。(This programme supply two examples by Compressed sensing with l1 norm. The sparse matrix of two examples are all DCT matrix and the obsever matrix are unit matrix and random matrix respectively. We give the detailed usage and steps for the programme which is useful to the beginner.)

本程序是运用脉冲耦合神经网络（PCNN）算法进行图像分割的一个实例。基于PCNN的图像分割是一种图像像素相似度临近相似性的图像分割方法，已被广泛应用于图像平滑，分割及边缘检测等图像处理领域。(This program is an instance of the algorithm for image segmentation using pulse coupled neural network (PCNN). PCNN-based segmentation of an image pixel similarity near the the similarity image segmentation method has been widely used in image smoothing, segmentation and edge detection image processing applications.)