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yansejulei
图像颜色聚类分割，实现了图形分割，基于RGB特征并显示出来。(Color image segmentation clustering, to achieve the graphics division, based on the characteristics of RGB and displayed.)
- 2009-07-05 16:42:08下载
- 积分：1
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wavelet transform program
说明： 内容：基于MATLAB的小波变换程序
具体功能：实现四级信号的小波分解和重构(Content: wavelet transform based on Matlab: four level signial wavelet decomposition and reconstruction are implemented.)
- 2020-11-02 17:09:54下载
- 积分：1
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vtk-point-cloud-rendering
vtk显示点云，和点云三角网格化。
源代码已可运行，不过vtk的环境需要你自己配置(vtk display point clouds, and point cloud triangular grid. Source code has been run, but vtk environment requires you to configure)
- 2021-01-26 23:18:41下载
- 积分：1
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Medical Image Reader and Viewer
医疗图像分割，GUI，可视化,能够实现对医疗图像感兴趣区域分割，GUI显示，三维可视化(Medical image segmentation, GUI, visualization)
- 2018-06-07 21:49:46下载
- 积分：1
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daqituanliu
对灰阶图像进行大气湍流滤波，使图像达到需要达到的效果(The atmospheric turbulence filtering is applied to the gray scale image to achieve the desired effect)
- 2019-05-19 14:24:00下载
- 积分：1
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tuxiangjihetezheng
可用于简单图像的处理及几何特征提取，可得到1. 长宽比 2. 矩形度 3. 圆形度 4. 面积凹凸比 5. 周长凹凸比 6. 球形度 7. 偏心率 8. 形状参数(It can be used to process simple images and extract geometric features. It can obtain 1. aspect ratio 2. rectangularity 3. roundness 4. area concave-convex ratio 5. circumference concave-convex ratio 6. sphericity 7. eccentricity 8. shape parameters.)
- 2019-04-18 20:55:38下载
- 积分：1
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cximage571full
图像浏览及处理软件(image viewing and processing software)
- 2020-12-27 21:49:02下载
- 积分：1
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deformation_transfer_python_for_same_face
对三角网格进行驱动形变，使用Deformation transfer of Triangular Mesh算法(Driving Deformation of Triangular Mesh)
- 2020-06-16 15:20:02下载
- 积分：1
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点云特征提取 详细 实用 经典的讲述过程及方法FeatureExtractionFromPointClouds
点云特征提取 详细 实用 经典的讲述过程及方法(Point Cloud Feature Extraction practical details about the processes and methods of classic)
- 2020-07-09 10:18:55下载
- 积分：1
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main
说明： 以稀疏基有离散余弦变换基（DCT）和快速傅立叶变换基（FFT）做为稀疏基，高斯随机矩阵、部分哈达玛矩阵为测量矩阵，L1范数、正交匹配追踪算法（OMP）为重建算法进行压缩感知算法实现。
以f = cos(2*pi/256*t) + sin(2*pi/128*t)做为原信号，取原信号f的20%做为输入进行压缩感知重建。(The sparse basis includes discrete cosine transform (DCT) and fast Fourier transform (FFT) as sparse basis, Gaussian random matrix and partial Hadamard matrix as measurement matrix, L1 norm and orthogonal matching pursuit algorithm (OMP) as reconstruction algorithm.
In this paper, the reconstructed signal is reconstructed by using the original sensing signal (sinf * t) as the original input signal (i.e. sinf * t * 2) + 2 * s * t * as the input signal.)
- 2020-12-17 22:00:23下载
- 积分：1
