SpaRSA_2.0

说明：  分析了如何利用小波变换技术对图像进行信息融合使读者从整体上对医学图像融合技术有一个比较清楚直观的理解 (Analysis of how to use wavelet transform to the image information fusion, so that readers from the whole of the medical image fusion technology has a relatively clear and intuitive understanding.)

本文提出了一种基于数字图像轮廓特征的机械零件自动有 效识别的系统。利用工业摄像镜头代替目视作为一个传感器，经过光电转换、图 像采样、图像处理、图像分析识别等一系列的操作，就可以达到机械零件识别的 目的。(This paper presents a digital image based on the outline of the characteristics of mechanical parts automatically effective identification system. Utilization of industrial camera lens as a substitute for visual sensors, through photoelectric conversion, image sampling, image processing, image analysis to identify a series of operations to achieve the purpose of identification of mechanical parts.)

张量投票算法,对连接断裂的线段有很好的效果(Tensor Voting)

对图像做spca有监督的主成分分析降维，并投影回图像来降噪，在本程序中，使用正弦函数控制图像变化，函数值作为监督信息(Image do spca supervised principal component analysis dimension reduction, noise reduction and projected back images)

该代码用于实现视频监控/视觉监控/视频智能监控/视觉智能监控，具有友好的人机交互界面。在工作时，利用连接在计算机上的摄像头取得视频图像，通过背景减除、滤波、二值化处理、识别等技术，实现对视频目标的监控。(This code is applied to visual surveillance/video surveillance/visual intelligent surveillance/video intelligent surveillance which has a friendly human-machine interface. When working, it detects objects in video using some techniques containing background subtraction, filter, binarization, and recognition. )

说明：  仿真获取四幅互差半个像素的低分辨率图像，利用反演解析算法重建出一副高分辨率图像，属于亚像元技术或者超分辨率技术。(Simulation Interoperability poor access to four half-pixel low-resolution images, the use of inversion algorithm for the reconstruction of an analytic high-resolution images, belong to sub-pixel super-resolution technology or technology.)

【实例简介】图片转PDF

Water level detection1111 good

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.)

Arnold变换和Logistic混沌映射的数字图像加密算法MATLAB源代码。将第一行图片路径换位要加密的图片运行即可。(Digital Image Encrypti Algorithm based on Arnold Tranform and Logistic Chaotic Maps)