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vtk建立三维模型
vtk建立三维模型
- 2015-01-01下载
- 积分：1
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ksdensity
自行设计的概率密度函数统计方法，代替ksdensity函数(Probability density function of self-designed statistical methods, instead of ksdensity function)
- 2021-02-02 15:40:00下载
- 积分：1
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MATLAB_image_process_with_PDE
运用偏微分方程(PDE)方法进行图像处理的matlab程序，包括图像滤波、图像分割、插值、图像增强、恢复及一些方程组求解等在偏微分方法处理图像处理领域常用且重要的处理程序，供大家学习。(The use of partial differential equations methods matlab image processing procedures, including image filtering, image segmentation, interpolation, image enhancement, restoration, and some partial differential equations approach to solving such as in the field of image processing procedures used and important for them to learn.)
- 2010-01-12 10:09:14下载
- 积分：1
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edgelinking_shengzhang
这是一个基于主动生长的边缘连接算法，自己编写(an edge linking algorithm based on autonomous edge growing for discontinuity edge of edge
image caused by missed detection)
- 2012-04-06 09:53:32下载
- 积分：1
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三次B样条曲线拟合算法
B样条曲线分为近似拟合和插值拟合，所谓近似拟合就是不过特征点，而插值拟合就是通过特征点，但是插值拟合需要经过反算得到控制点再拟合出过特征点的B样条曲线方程。这里会一次介绍两种拟合算法。
- 2021-05-06下载
- 积分：1
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hunhegaosi
混合高斯前景提取。数学建模时编的，测试视频就在包内，可以作为学习交流用，环境2014a的matlab，后有添加形态处理都在注释里。一起学习。有matlab编的vibe程序欢迎交流(Hybrid Gauss foreground extraction. Mathematical modeling of the series, the test video is in the package, can be used as a learning exchange, the environment 2014a MATLAB)
- 2021-01-01 16:28:57下载
- 积分：1
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Lowrank
修复破损图片，图像修复序列-Lowrank模型(Repair damaged picture, image repair sequence -Lowrank model)
- 2018-03-28 19:15:31下载
- 积分：1
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结构光照明荧光显微镜数据稳定性检测程序 SIMcheck-dev
结构光照明荧光显微镜数据稳定性检测程序，非常强大(Structured light illumination fluorescence microscopy data stability testing procedures, very strong)
- 2015-07-07 20:07:36下载
- 积分：1
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灰度图像边缘检测
说明： 灰度图像的边缘检测，包含多种算子：sobel,prewitt,gaosi算子等，包括原理和各算子的区别(Edge detection of gray image includes many operators: Sobel, Prewitt, Gaosi, etc)
- 2020-04-19 17:08:44下载
- 积分：1
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MATLAB指纹识别（GUI，比对两幅指纹，完美运行）
说明： 本设计为基于MATLAB的指纹识别系统。本设计系统主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像灰度化、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint identification system based on MATLAB. This system mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image grayscale, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed for the convenience of subsequent recognition processing. Feature extraction is mainly to extract the endpoint and bifurcation points after thinning the fingerprint image. Feature matching is to determine the two images by comparing the feature points of the two fingerprint images Whether the image comes from the same finger.)
- 2020-02-16 22:03:11下载
- 积分：1
