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xiangsidupipei-matlab
对两幅图像进行相似度计算，基于相似度计算进行模板匹配，带有测试图像，可以直接运行(Calculate the similarity of the two images, the similarity calculation based on template matching, with a test image, you can directly run)
- 2020-11-02 14:49:53下载
- 积分：1
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Matlab_code
含有Matlab的各种程序和代码，包括图像分割、模式识别、文字识别等。并且含有初学者入门的代码。(Matlab contains the various procedures and code, including image segmentation, pattern recognition, text recognition. And contain the code entry for beginners.)
- 2008-06-09 11:58:52下载
- 积分：1
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PF
说明： 序贯重要性采样——标准粒子滤波算法。可直接使用。(Sequential importance sampling- standard particle filter. Can be used directly.)
- 2013-10-26 21:02:56下载
- 积分：1
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Image+retrieval+matla
我自己写的用hilbert曲线扫描图像后，进行图像检索的代码，里面有很多有用的代码，有部分是在国外网上淘的(I wrote it myself using hilbert curve scanned image after image retrieval code, which has many useful code, some of the Amoy abroad online)
- 2007-10-19 13:12:12下载
- 积分：1
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texton
基于基元共生矩阵的纹理特征提取。通过5个基本的方格来检测图像并生成图像的基元共生矩阵，并从矩阵中提取其纹理特征信息。(Texton occurrence matrix based texture feature extraction)
- 2021-04-09 17:39:00下载
- 积分：1
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f771982e0947
sift算法引用于图像处理的一些常用程序(a reference to the image processing algorithms sift some common procedures)
- 2020-09-03 13:48:07下载
- 积分：1
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inexact_alm_rpca
RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。目前最有效的算法是ALM（Augmented Lagrange Multiplier）。ALM分为Exact ALM和Inexact ALM。 该代码是Inexact ALM，收敛速度比Exact ALM快！(RPCA (Robust Principal Component Analysis) is used for matrix filling, image denoising. It is currently the most effective optimization method. Currently the most effective method is ALM (Augmented Lagrange Multiplier). There re 2 kinds of ALM: Exact ALM and Inexact ALM. The code is Inexact ALM, faster convergence speed than the Exact ALM!)
- 2010-11-02 14:07:29下载
- 积分：1
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特征检测与匹配
说明： 特征检测与匹配的目标是识别一个图像中的关键点与另一个图像中的对应
点之间的配对。(The goal of feature detection and matching is to identify the key points in one image and the corresponding points in another image)
- 2020-12-04 10:39:34下载
- 积分：1
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e900f286
说明： PCA图像降噪新算法-LPG PCA，全名叫做Two-stage Image Denoising by Principal Component Analysis with Local Pixel Grouping。内含算法代码和数据集，均经本人实测，可进行灰度图像和RGB图像的降噪，且PSNR和SSIM指标明显好于小波滤波、K-SVD等经典算法。值得学习图像降噪的看看！(The new algorithm of PCA image denoising LPG PCA, full name is two stage image denoising by principal component analysis with local pixel grouping. The algorithm code and data set can be used to reduce the noise of gray image and RGB image, and the PSNR and SSIM are better than the classical algorithms such as wavelet filtering and K-SVD. It's worth learning about image denoising!)
- 2020-11-24 22:19:32下载
- 积分：1
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ostu
使用大津法选定二值化阈值，并对彩色图像做二值化处理(Otsu binarization threshold is selected, and the color images do binarization processing)
- 2012-05-19 22:41:01下载
- 积分：1
