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DENTIST-master
说明： 红外小目标检测算法RIPI，基于红外块图像，张量加权，PCA(infrared target detection algorithm RIPI)
- 2020-10-19 10:27:26下载
- 积分：1
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MatlabRun
说明： 本程序是基2的时间抽取FFT变换，可以将信号从时域转换到频域。(This procedure is the base 2 time extraction FFT transform, can transform the signal from time domain to frequency domain.)
- 2020-06-16 12:00:01下载
- 积分：1
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统计
说明： 计算图像直方图的统计特征，包括均值，方差，熵，三阶矩等。(image histogram calculated the statistical characteristics, including mean, variance, entropy, such as third-order moments.)
- 2005-11-16 12:00:35下载
- 积分：1
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ThreeView
三视图，用二维图像显示三位图像，分主视图，俯视图，侧视图(view)
- 2020-11-30 09:29:34下载
- 积分：1
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Criminisi
大面积破损的基于样本块匹配的纹理合成修复图像(Large area damaged texture synthesis restoration image based on sample block matching)
- 2017-12-10 20:49:40下载
- 积分：1
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Split_Bregman_Denoising
使用分裂Bregman算法做图像去噪，收敛速度很快，保持缘特征(using Splitting Bregman algorithm do image denoising, fast convergence to maintain edge features)
- 2009-12-15 10:26:53下载
- 积分：1
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gabor_decon
基于Gabor 变换的地震反褶积正反变换程序，以及和维纳反褶积的对比程序
(Gabor transform based on seismic deconvolution forward and reverse transform procedures, and the Wiener deconvolution of the comparison program)
- 2017-05-03 10:46:46下载
- 积分：1
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多频外差
实现三频外差法展开相位，包含理想条纹图片数据。(multi frequency unwrapping phase including standard fringe data)
- 2020-10-10 20:57:33下载
- 积分：1
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scanfill
光栅图形学中的扫描填充算法。list<Line> AET和list<Line>* NET构成了活性边表和新边表.算法先初始化各扫描线新边表,之后对于每条扫描线更新活性边表，并且配对交点来着色。
(Raster graphics scanning fill algorithm. list <Line> AET list <Line>* NET constitute the active side of the table and side table new algorithm to initialize each scan line side table new, after each scan line update the active side of the table, and the the paired intersection of coloring.)
- 2013-05-16 14:10:30下载
- 积分：1
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利用聚类技术实现纹理分割
说明： a）针对合成纹理图像（共有4 个合成纹理图像，见文件夹：
Texture_mosaic_data）中每一个像素提取纹理特征向量；
b）利用聚类技术（推荐用k‐均值聚类，可以从网上查找原码）对特征向
量空间中的点进行聚类，类别数可根据图像中的实际纹理类数确定。最后把类
属标签映射成图像形式显示（如下图，其中b、d、f、h 为相应的基准分割图像）。(A) for synthetic texture images (there are 4 synthetic texture images in total, see the folder:
Texture feature vector is extracted from every pixel in texture;
B) use clustering technology (K-means clustering is recommended, and the original code can be found on the Internet) to search the feature direction
The number of categories can be determined according to the actual number of texture classes in the image. Last class
The generic label is mapped to an image (as shown in the figure below, where B, D, F, h are the corresponding reference segmentation images).)
- 2020-12-06 17:59:22下载
- 积分：1
