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non_local
说明： 自己用python复现的NL-mean去噪，备注比较详细，便于理解原理；
之后会尝试复现更多图像领域的经典论文(The NL-mean reproduced by Python is used to denoise the noise. The notes are detailed and easy to understand the principle.
We will try to reproduce more classical papers in the field of image.)
- 2020-06-21 00:40:02下载
- 积分：1
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Features2D_Homography
使用OpenCV实现特征点的查找以及两幅图像中的特征点匹配(Use the function findHomography to find the transform between matched keypoints.
Use the function perspectiveTransform to map the points)
- 2014-03-07 11:04:15下载
- 积分：1
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Retinex+CLAHE
说明： 结合Retinex和CLAHE图像去雾，Retinex有ssr，msr，msrcr。(Combine Retinex and clean image to remove fog)
- 2021-01-27 12:08:35下载
- 积分：1
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Attribute profiles
选择合适的样本特征点，然后可以将特征导入svm进行分类(After the image processing, the main information is obtained by PCA transform, and then the feature of texture information selection is put forward)
- 2017-10-19 23:21:14下载
- 积分：1
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read-and-save-the-dicom-type-image
医学图像大部分都是dicom图像，这里提供dicom图像读取、显示和保存的matlab代码，以为医学图像处理初学者提供学习。
(Dicom medical images are mostly images, here to read dicom image, display, and save the matlab code, provided that the medical image processing for beginners to learn.)
- 2011-05-23 23:30:48下载
- 积分：1
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phasecong
说明： 基于相位一致性的边缘检测，可使用该函数获取频谱图像的边缘(Edge detection based on phase consistency)
- 2020-05-15 21:57:53下载
- 积分：1
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adpmedian
数字图像处理matlab版源码1，adpmedian.m(Matlab source code version of Digital Image Processing 1, adpmedian.m)
- 2009-12-27 19:02:59下载
- 积分：1
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inexact_alm_rpca
非精确ALM解决PCA算法的例子，用后效果不错，发上来分享。(This matlab code implements the inexact augmented Lagrange multiplier method for
Robust PCA.)
- 2020-06-29 04:00:02下载
- 积分：1
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imagesegmentation
matlab图像分割实例，基于Lab空间的色彩分，割调用库函数实现，带注释，简单易懂；(matlab example of image segmentation, based on Lab color space points, call the library functions achieve cutting, with comments, easy to understand )
- 2010-06-23 17:19:32下载
- 积分：1
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Camera-Calibration-
相机标定源代码，包含张正友，Tsai等基于matlab的相机标定方法。(Camera calibration source code, including Zhang Zhengyou, Tsai camera calibration method based on Matlab.)
- 2020-10-19 15:47:29下载
- 积分：1
