图片（信息熵、对比度、平均亮度、清晰度）

针对CT 医学图像和MR I 医学图像成像特点, 提出了基于快速整数提升小波变换的融合方法。在CT 和 MR I 两幅医学图像配准的前提下, 利用提升小波变换把图像分解成低频和高频子图像, 对于小波变换后的高频 子图像, 选择区域标准差大的作为融合后的子图像 对于低频子图像, 采用加权融合, 最后进行小波逆变换, 得到 融合后的图像, 并对融合后图像用信息熵、平均梯度、相关系数的指标进行评价。实验结果表明, 基于快速整数提 升小波变换融合中, 小波高低频系数采用不同的规则能够取得更好的融合效果, 其轮廓清晰。该算法能够提升融 合后的医学图像信息量, 同时有效地保护图像的细节信息, 在执行时间和图像质量上均优于普通小波算法。(A imed at the characterist ics of CT andMR Imedical images, a new image fu sion al2 go rithm based on the fast in t lif t ing w avelet t ran sfo rm s is p ropo sed. Two o riginal images are decompo sed by the fast in t lif t ing w avelet t ran sfo rm s. The fu sion ru le based on the max imum standard deviat ion value variance is u sed to fu se the h igh f requency sub2image, w h ile a w eigh t2 ed average fu sed ru le is app lied by coeff icien t s of the low f requency. F inally, the fu sion image is recon st ructed fo r perfo rm ing inverse fast in t lif t ing w avelet t ran sfo rm s. The fu sion image is evaluated by en t ropy, average gradien t, and co rrelat ion coeff icien t s. Experimen tal resu lt show s that the fu sion image hasmo re info rmat ion than o riginal images and imp roves the quali2 ty of o riginal images. M eanw h ile, the fu sion image p ro tect s detail characterist ics of the image, thu s the real2t ime p rocess and image qualit ies are w ell than tha)

使用ssd深度学习方法来实现生活中想要识别的目标(Using SSD in-depth learning method to achieve the goals you want to identify in your life)

传统滤波方式如均值滤波，中值滤波，维纳滤波对图像去噪的处理以及自适应中值滤波对图像去噪。(Traditional filtering methods such as mean filtering, median filtering, wiener filtering for image denoising processing and adaptive median filter for image denoising.)

本手册主要介绍粒子滤波的基本原理和其在非线性系统的应用（主要是目标跟踪、多目标跟踪、电源寿命预测方面的应用）。同时本手册最大的优点是介绍原理和应用的同时，给出实现例子的matlab代码程序，方便读者对照公式，理解代码。因此，它是相关方面的研究者快速上手和进入研究领域的快捷工具。同时，对于有一定基础的研究者，可以在本手册提供代码的基础上，做算法进一步改进和深入研究。(This manual describes the basic principles of particle filter and its application in nonlinear systems. The biggest advantage of this manual is to introduce the principles and applications of the same time, given the matlab code example implementation program, formula for the convenience of readers, to understand the code. Therefore, it is relevant researchers to quickly get up and running enter research areas shortcut tool. , Based researchers, on the basis of this manual code to do the algorithm to further improve and in-depth study.)

摄影测量点云，三维激光点云进行点云特征图像提取进行格网化代码(Photogrammetric point cloud, 3D laser point cloud, point cloud feature image extraction for grid code)

任意位巴克码的匹配滤波以及模糊函数matlab源码(Any bit Barker code matched filter and ambiguity function matlab source code)

图像交互是分割 graph cut,实现交互式分割，并且可以连续分割(Interactive image is split graph cut, to achieve interactive segmentation, and can be continuously split)

matlab图象应用广泛于图象增强,其中的Retinex图象增强也越来越受到重视,对于彩色图象的处理效果很明显。(Matlab image widely used in image enhancement, The Retinex Image Enhancement also growing in importance for color image effect is obvious.)

色彩空间转换，支持RGB, YUV, HSV, HSL, Lab, Luv等格式(Color space conversion, support for RGB, YUV, HSV, HSL, Lab, Luv, etc. formats)

一种针对光照不均且低对比度环境下的水下图像增强算法。(Underwater image enhancement algorithm in a low contrast environment)