▍1. 去噪评价指标ENL, SSIM, PSNR,SNR,EPI
说明： 图像去噪的评价指标ENL, SSIM, PSNR,SNR,EPI(The evaluation indexes of image denoising are ENL, SSIM, PSNR,SNR and EPI)
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▍2. 加权平均图像融合算法
小波融合的加权平均算法，适用于初学者，很好的引入(Weighted average algorithm for wavelet fusion)
▍3. 基于粒子滤波的视频目标跟踪算法(上传至Pudn)
基于粒子滤波的视频目标跟踪算法matlab源程序，内涵视频文件及算法源程序。(Video object tracking algorithm based on particle filter matlab source program, content video files and algorithm source program.)
▍4. Adaboost人脸识别
运用adaboost方法进行人脸检测的matlab算法，实用易懂，适合初学者！(Using adaboost method for face detection matlab algorithm, practical and easy to understand, suitable for beginners!)
▍5. GeodesiActiveContour
实现了geodesic active contour图像分割算法，用到AOS scheme and level set method(Realize the geodesic active contour image segmentation algorithm, using AOS scheme and level set method)
▍6. 图像拼接技术
利用sift算法提取两张图像的特征点，利用ransac去除误匹配，最后将两张图片拼接在一起(Using sift algorithm to extract the two feature points of the image, the use of ransac to remove the wrong match, and finally the two pictures together)
▍10. GLGS
灰度差分统计法提取图像纹理特征，包括平均值，对比度，熵，等特征，matlab函数，直接接使用，无需修改，中文注释，通俗易懂(Gray difference statistical method is used to extract texture features of image, including mean value, contrast, entropy, etc., matlab function, directly used without modification, Chinese annotation, and easy to understand)
▍11. DTCWT-NLM-master
图像去噪,应用DTCWT 进行地震信号的去噪和重建(picture-denosing apply DCTWT into signal of earthquake denosing)
▍12. image registration by sift and surf
sift和surf特征点提取，然后进行配准，通过ransac进行提纯(Sift and surf feature points are extracted, then registered and purified by RANSAC)
▍13. image registration by sift and surf
说明： sift和surf特征点提取，然后进行配准，通过ransac进行提纯(Sift and surf feature points are extracted, then registered and purified by RANSAC)
▍14. Annas-EMD
一种二维EMD算法，作者是Anna Linderhed，该学者博士研究课题为二维EMD和小波变换，她的二维EMD算法与Nenus或其他学者的算法有较大的不同。(A two-dimensional EMD algorithm, the author is Anna Linderhed, her Ph.D. research topic is bidimensional EMD and wavelet transform. Her two-dimensional EMD algorithm is quite different from that of Nenus and other scholars.)
▍16. LBF
说明： 这是“Implicit Active Contours Driven by Local Binary Fitting Energy”（简称LBF模型）的MATLAB源代码。LBF模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。(This is the "Implicit Active Contours Driven by Local Binary Fitting Energy" (referred to as the LBF model) of the MATLAB source code. LBF model is very important to local area active contour model, which is widely used in various fields, such as MRI brain image segmentation, vessel segmentation, image bias field correction.)
▍17. ISARcode
说明： ISAR成像例程，对Yak42飞机数据经过包络对齐和相位校正后进行成像。(The ISAR imaging routine images the Yak42 aircraft data after envelope alignment and phase correction.)
▍18. Remote-Sensing-Image-Processing
基于偏微分方程的遥感图像处理方法 利用测试图像对算法进行仿真验证，并与其它图像去噪算法进行去噪效果比较，通过数值对降噪效果进行评估，得出该方法不仅能够去除噪声而且能够很好的保护图像的边缘等细节信息，弥补了高阶非线性扩散去噪方法导致边界模糊的缺陷，提高了遥感图像的质量，改善了视觉效果(Simulation algorithm of remote sensing image processing methods based on partial differential equations using the test image denoising results compare with other image denoising algorithm to assess the value of the noise reduction effect, draw the method can not only remove the noise but well protected image edge details, to make up for the higher order nonlinear diffusion denoising method lead to fuzzy boundaries defects and improve the quality of remote sensing images and improve the visual effects)
▍19. imageica-matlab.tar
数字图像质量评价量：计算数字图像在基于像素统计差异、基于相似性度量统计差异、基于频谱统计差异以及基于人眼视觉系统统计差异等的图像质量评价量(Digital image quality evaluation of the volume: calculating the number of images in the pixel-based statistical difference, similarity measure based on statistical differences, based on statistical difference spectrum, as well as human visual system based on statistical differences in image quality evaluation of the volume of)
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