▍1. ChangeDetectionPCAKmeans-master
说明： PCA Kmeans-master图像变化检测算法设计(ChangeDetectionPCAKmeans-master)
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▍3. duochongxiaobo
说明： 小波分析增强滤波。小波变换的原理类似傅里叶变换，只是把三角函数基换成了小波基。与傅里叶变换不同，小波变换有两个变量：scale和translation。scale控制小波函数的收缩，其导数即为频率，translation控制小标函数的平移，平移量对应时间。通过信号的伸缩平移，可以得到某种重合情况，这样积分也会得到一个极大值，不同的是，得到频率成分的同时，还可以知道该频率的时间位置。(Wavelet analysis enhances filtering.The wavelet transform works like the Fourier transform, except that the trigonometric basis is replaced by a wavelet basis. Unlike the Fourier transform, the wavelet transform has two variables: scale and Translation. Scale controls the contraction of the wavelet function, its derivative is frequency, translation controls the translation of the small scale function, and the translation corresponds to the time. By stretching and shifting the signal, you can get some kind of coincidence, so that the integral will also get a maximum, but the difference is that when you get the frequency component, you can also know the time position of that frequency.)
▍4. CFAR--
基于CFAR虚警率的图像分割算法，可快速对灰度图像进行CFAR检测分割。(Based on the false alarm rate of CFAR image segmentation algorithm, the gray image can be fast CFAR detection and segmentation.)
▍5. steel jishu -code
基于matlab的钢筋计数方法，有ui界面(MATLAB-based steel bar counting method with UI interface)
▍6. steel jishu -code
说明： 基于matlab的钢筋计数方法，有ui界面(MATLAB-based steel bar counting method with UI interface)
▍7. matlab-code
边缘检测法和阈值分割法，是图像分割技术应用中两项重要的方法。本文介绍了图像边缘检测和阈值分割的一般原理、典型算法以及研究现状。本文针对边缘检测算子和几种阈值分割技术进行了详细讨论。针对火柴根数统计和钢筋根数统计两个实验，在详细分析检测原理的基础上，编写了相应的实验并给出了实验结果。(Edge detection and thresholding method, image segmentation is an important technology in two ways. This article describes the general principles of image edge detection and thresholding, the typical algorithms and research status. In this paper, several edge detection operator and thresholding techniques are discussed in detail. Statistics for the number of matches and reinforced the number two experimental statistics, based on a detailed analysis of the detection principle, write the corresponding experimental and experimental results are given.)
▍8. 粒子群算法的Pareto多目标函数优化
粒子群算法的Pareto多目标函数优化，适用于多目标问题的寻优(Particle swarm optimization Pareto multi-objective function optimization, suitable for multi-objective optimization.)
▍9. fingerprint-classification2
指纹分类是指纹准确识别的前提，该程序是指纹分类源码(Fingerprint classification is a prerequisite to accurately identify the fingerprint, fingerprint classification code of the program is)
▍10. OSEM_improve
医学图像重建算法中OSEM算法的Matlab程序(MATLAB Program of OSEM Algorithms)
▍11. OSEM_improve
说明： 医学图像重建算法中OSEM算法的Matlab程序(MATLAB Program of OSEM Algorithms)
▍13. improve-SP
压缩感知重构算法，在经典的SP基础上进行的改进，提高了性噪比，以DWT为稀疏基。(Compressed sensing reconstruction algorithm, improved on the basis of the classic SP carried out to improve the signal to noise ratio, DWT is sparse groups.)
▍14. DSCM_v1.0
数字图像相关方法（DIC），其中DIC_FITC_sp是主程序，StepSearch是三步搜索法，CalculateC是计算相关系数的函数，SubpixelEstimation是曲面拟合法计算亚像素位移的函数( U6570 u5B57 u56E u502F3 u6L0 u6L0 u6L0 u6E0B u5R9 u6B0 U662F u8B1 u7B97 u7R0 u5133 u7F2 u7F2 u7F2 u7F2 u7F0 u7FB u7F0 U51FD u6570)
▍15. SANBAN
对比两张图片上的散斑的变化来确定被测材料的变形和相关位移(Change of speckle contrast two images to determine the detected material deformation and displacement)
▍16. Image fusion
采用了小波变换的方法实现了红外光图像与可见光图像的融合，并且设计了一个简单的matlab GUI界面。小波变换的分解层数为2层，采用低频平均高频取大的融合规则，融合效果非常欢迎下载。(The method of wavelet transform is used to realize the fusion of infrared and visible light images, and a simple matlab GUI interface is designed. The number of decomposition layers of the wavelet transform is 2 layers, and the fusion rule is adopted by the low frequency average high frequency. The fusion effect is very welcome to download.)
▍17. circle-detection
这个是我自己编写和修改的圆特征检测的程序，能同时求取多个圆的圆心和半径信息。并且文件中有测试图片，直接运行就可以出结果。(The files can detect multi circles in one image at the same time，circle center and R information can be obtained.)
▍19. RdwtSvdWatermarking
将原始载体图片经过一维冗余离散小波变换分成四个子频带，分别对每个子频带进行奇异值分解， 将水印图片灰度值直接按比例缩小嵌入到奇异值矩阵中，再将此矩阵进行一次奇异值分解得到奇异值当做此子带的奇异值， 重建此子带矩阵，而后将进行反冗余离散小波变换得到嵌入载体后的水印图像。(The original image after the one-dimensional vector redundant discrete wavelet transform is divided into four subbands, respectively, of each sub-band for the singular value decomposition, the watermark image gray value scale down directly embedded into the matrix singular value, then this matrix is a Singular value decomposition singular value as the singular values of this sub-band, the reconstruction of this sub-band matrix and after anti-redundant discrete wavelet transform watermark image after embedding the carrier.)
▍20. RdwtSvdWatermarking
将原始载体图片经过一维冗余离散小波变换分成四个子频带，分别对每个子频带进行奇异值分解， 将水印图片灰度值直接按比例缩小嵌入到奇异值矩阵中，再将此矩阵进行一次奇异值分解得到奇异值当做此子带的奇异值， 重建此子带矩阵，而后将进行反冗余离散小波变换得到嵌入载体后的水印图像。(The original image after the one-dimensional vector redundant discrete wavelet transform is divided into four subbands, respectively, of each sub-band for the singular value decomposition, the watermark image gray value scale down directly embedded into the matrix singular value, then this matrix is a Singular value decomposition singular value as the singular values of this sub-band, the reconstruction of this sub-band matrix and after anti-redundant discrete wavelet transform watermark image after embedding the carrier.)
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