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BM3D-matlab-simple
说明: 图像去噪,降低图像的噪声,提高图像PSNR(image denoise,improve the psnr of image)
- 2021-04-01 16:39:08下载
- 积分:1
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gunqiufa
实现肺实质初始分割及采用滚球法(形态学开运算)进行修补肺实质轮廓凹陷。(Achieve initial segmentation and the use of the pulmonary parenchyma ball method (morphological opening operation) to repair the lung parenchyma contour depression.)
- 2020-10-31 21:09:56下载
- 积分:1
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PIVlab
PIVlab是一个开源的粒子图像测速(PIV)软件。它不仅能够通过图像对计算出速度,而且能够得到、显示和导出多个参数的流动模式。通过一个友好的图形用户界面(GUI),使得的PIV技术分析和数据后处理更加快速、高效。(PIVlab is an open-source particle image velocimetry (PIV) software. It can not only calculate the speed through the image pairs, but also can get, display and export the flow patterns of multiple parameters. Through a friendly graphical user interface (GUI), the PIV technology analysis and data post-processing are faster and more efficient.)
- 2021-04-01 19:09:08下载
- 积分:1
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gaussianba
使用特征差别提取,通过特征差别相减,以去除高斯背景(Using the characteristics of different extraction, the characteristics of different background subtraction, to remove Gauss)
- 2014-01-07 17:31:17下载
- 积分:1
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11
说明: LSA的第一步是要去创建词到标题(文档)的矩阵。在这个矩阵里,每一个索引词占据了一行,每一个标题占据一列。每一个单元(cell)包含了这个词出现在那个标题中的次数。例如,词”book”出现在T3中一次,出现在T4中一次,而”investing”在所有标题中都出现了一次。一般来说,在LSA中的矩阵会非常大而且会非常稀疏(大部分的单元都是0)。这是因为每个标题或者文档一般只包含所有词汇的一小部分。更复杂的LSA算法会利用这种稀疏性去改善空间和时间复杂度。(The Little Book of Common SenseInvesting: The Only Way to Guarantee Your Fair Share of StockMarket Returns ,)
- 2015-12-23 20:26:03下载
- 积分:1
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3Otsu
三维Otsu算法,图像分割,利用粒子群优化算法进行加速。(Three-dimensional Otsu algorithm, image segmentation, particle swarm optimization algorithm accelerated.)
- 2011-01-01 10:13:31下载
- 积分:1
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vb6
图像处理缩放,大小随意改变,平滑处理,基于vb6.0设计(Zoom image processing, size change, smooth deal, based on the design VB6.0)
- 2009-03-25 15:11:17下载
- 积分:1
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DMC2C80-V1.1
VC development motion control routines, vb development 12 axis motion control routines
- 2013-12-08 21:55:18下载
- 积分:1
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halcon-机器视觉-3d-laser-line
【实例简介】
- 2021-06-24 00:31:13下载
- 积分:1
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RandomSampleConsensus
在逆向工程中通过测量仪器得到的产品外观表面的点数据集合也称之为点云,通常使用三维坐标测量机所得到的点数量比较少点与点的间距也比较大,叫稀疏点云;而使用三维激光扫描仪或照相式扫描仪得到的点云点数量比较大并且比较密集,叫密集点云。(Data collection point in the surface appearance of the product obtained by reverse engineering measurement instruments, also known as point clouds, usually spaced three-dimensional coordinate measuring machine number of points obtained in relatively small dots are relatively large, called sparse point cloud while the number of point cloud using the three-dimensional laser scanner or camera scanner get bigger and more intensive, called dense point clouds.)
- 2015-01-02 22:57:26下载
- 积分:1