Img_compress

说明：  matlab实现图像的锐化，使用不同的算子分别对图像进行运算(Matlab achieve sharper images, the use of different operators were right image Operational)

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.)

彩色图像转为灰度图像，灰度图像的傅里叶低通滤波，彩色图像的傅里叶低通滤波，三种滤波器的三维表示(Transforming a color image to a grayscale image Do low-pass filtering to a grayscale or color image by Fourier transform The three-dimensional representation of three types of filters )

说明：  <基于Matlab的数字图像相关法的程序实现> 数字图像相关法是对全场位移和应变进行分析的一种新的实验力学方法。图像处理是其核心之一。本文探讨了根据相关技术寻 求位移场的基本原理,并编制了基于Matlab的数字图像相关法程序。程序验证结果表明本程序处理速度快,精度高,可以满足基于相关技 术的图像处理的要求。(err)

基于LSB的音频水印嵌入提取算法，隐藏信息为一个文本文件(Extraction algorithm, the LSB-based audio watermark embedding hidden information into a text file)

亚像素边缘检测的matlab代码，比一般的边缘检测代码精确(Sub-pixel edge detection matlab code)

压缩传感理论，用K-SVD算法训练字典，过完备字典(Compression sensing theory, SVD algorithm with K- had complete training dictionary, dictionary)

迭代最佳阈值分割算法，寻找最佳阀值检测边缘(best iteration threshold segmentation algorithm to find the best edge detection threshold)

图像分割源程序 通过融合处理，％ image segmentation based on multispectral image fusion ％ and morphology reconstruction watershed ％ main program (image segmentation source through fusion, % image segmentation based on multispectral im age fusion% and morphology reconstruction wat ershed% main program)

光斑中心提取算法，在VS2010下，用opencv2.3.1编写的控制台程序，主要功能是利用hession矩阵和高斯滤波进行光斑中心点提取，里面附测试图片，提取精度为亚像素级别。(Spot center extraction algorithm, in VS2010, written by opencv2.3.1 console program, the main function is to use hession matrices and Gaussian filter for extracting the center spot, which is attached test images, the extraction accuracy of sub-pixel level.)