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minboundrect
说明： 可以获取连通域的最小外接矩形，然后做些其他处理(You can get the minimum external rectangle of a connected domain,and you can do something else.)
- 2019-05-23 20:05:46下载
- 积分：1
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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)
- 2021-04-16 15:18:53下载
- 积分：1
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鱼眼图像几何模型校正入门实验Matlab
一种鱼眼镜头校正算法的MATLAB实现，附论文及源代码(A MATLAB implementation of fisheye lens correction algorithm)
- 2017-09-12 13:39:13下载
- 积分：1
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Flow
This code implements two variations of the paper
"High accuracy optic flow using a theory for warping" presented at ECCV 2004 by Dr. Thomas Brox.
- 2008-04-17 15:46:23下载
- 积分：1
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SURF_extraction
图像SURF特征提取，用于图像拼接和篡改检测，注释比较详细，程序很好理解(SURF feature extraction, image is used for image matching and tamper detection, comments are detailed, the program is easy to understand)
- 2014-10-30 09:47:02下载
- 积分：1
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linkedge
图像处理中用于边缘检测图像的边缘连接和边缘拟合的代码(link edge)
- 2010-05-14 16:47:29下载
- 积分：1
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图像处理程序
说明： 图像处理程序，基于K均值聚类的图像分割——灰度图像，基于中位数算法的运动目标检测(Image processing program, image segmentation based on k-means clustering -- gray image, moving target detection based on median algorithm)
- 2020-06-20 14:00:02下载
- 积分：1
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shi-tomas
shi-tomasi方法角点提取方法。该方法测量结构张量的最小特征值。这代表了Harris和诺贝尔探测器试图近似的理想。哈里斯希望在计算特征时避免计算平方根的计算成本。(Shi-Tomasi corner detector method.The method measure returns the minimum eigenvalue of the structure tensor. This represents the ideal that the Harris and Noble detectors attempt to approximate. Back in 1988 Harris wanted to avoid the computational cost of taking a square root when computing features. This is no longer relevant today!)
- 2020-12-25 21:59:04下载
- 积分：1
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稀疏分解图像去噪
基于稀疏字典和稀疏编码的图像去噪算法，基于低秩约束的高光谱条纹噪声去除，包含论文及代码(Based on sparse dictionary and sparse coding image denoising algorithm, based on low rank constraints of hyperspectral fringe noise removal, including papers and code)
- 2020-10-22 19:47:23下载
- 积分：1
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LBP
纹理模式的LBP特征表示及分类原理：就是通过定义一个模板，对于原图像中的每个点，使用该模板进行操作，模板中心点近邻区域对应的图像象素值与中心位置对应的象素值进行比较，且对于不同位置的比较结果赋予不同的权值，从而，变换图像中对应点的值就由模板对应各位置的比较结果之权和表示。(LBP texture pattern feature representation and classification theory: that by defining a template for the original image of each point, use the template to operate, the template center of neighboring regions corresponding to the center of the image pixel values corresponding to the pixel value comparison, and the comparison results for different locations given different weights, and thus, changing the value of the image corresponding points on the template corresponding to each position by the comparison of the results of the right to and express.)
- 2010-01-05 13:17:31下载
- 积分：1
