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Point-cloud-normal
在对散乱点云进行三维重建时，许多算法都需要求点云的法矢并保证所有法矢的方向一致向外。本程序就是对点云数据求法矢和方向调整，包含文件输入输出的完整程序。(Scattered normals strike and reorientation)
- 2020-10-08 14:57:35下载
- 积分：1
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EMsf
关于EM算法的详细介绍，可以帮助初学者深入理解EM的来源及使用方法。(A detailed description on the EM algorithm that can help beginners in-depth understanding of the source and use of EM methods.)
- 2009-10-27 20:21:41下载
- 积分：1
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tezheng
这是本人找到的非常好的几何特征提取源代码，包括周长。面积。伸长度、矩形度等用过了，很不错的！(This is my very best to find the source code for geometric feature extraction, including the perimeter. Area. Elongation, rectangular degree used, very good!)
- 2010-11-30 15:10:02下载
- 积分：1
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L0330
小波去噪算法，包含多种小波去噪去噪，强制去噪、软阈值去噪、硬阈值去噪(Wavelet denoising algorithm that contains a variety of wavelet denoising denoising forced denoising, soft thresholding and hard threshold denoising
)
- 2021-02-15 11:39:48下载
- 积分：1
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人脸识别模板匹配
说明： 利用matlab来实现人脸识别，人脸识别模板匹配，(Face Recognition Template Matching)
- 2020-06-19 20:40:01下载
- 积分：1
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Phase-_-extract-line
5相位编组法实现纹理直线边缘的检测matlab程序代码。不同于hough变换。附带文字的原理讲解(The five-phase grouping texture straight edge detection ，matlab code. Different from the hough transform. explain with the accompanying text
)
- 2020-11-20 10:59:37下载
- 积分：1
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matlabGrabCutLazySnapping
说明： 使用LazySnapping算法对GrabCut算法进行改进(There are advanced segmentation algorithms in the literature which extends the concepts of graph cuts. Most prominent of them are Graph cuts and Lazy Snapping. Lazy napping is an interactive image cut out tool. Lazy Snapping separates coarse and fine scale processing, making object specification and detailed adjustment easy.)
- 2020-11-26 00:29:32下载
- 积分：1
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matlab
matlab书上第六章数值运算的几个样例习题。。。。。(the descirbtion of the matlab)
- 2019-05-15 19:54:04下载
- 积分：1
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image-geometric-transformation
实现图像的几何变换，包括图像的平移、镜像变换、缩放、转置以及旋转。(Achieve geometric transformation of image, including the image translation, image transformation, scaling, transpose and rotation.)
- 2015-07-15 14:30:29下载
- 积分：1
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Gamma-correction
说明： 对图像进行伽马校正，可以有效提升图像 亮度和对比度，低于低照度图像现在小于1的参数，对于高亮度的图像选择大于1的参数可以有效调节图像亮度。(Gamma correction can effectively improve the brightness and contrast of the image. The parameters lower than the low illumination image are less than 1. For the high brightness image, the selection of parameters greater than 1 can effectively adjust the brightness of the image.)
- 2021-02-10 20:19:52下载
- 积分：1
