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ccode_open_bitmap
图像处理c源码_功能是打开一幅位图_并显示在屏幕上(_ C source image processing function is to open a bitmap _ and displayed on the screen)
- 2014-01-04 19:41:22下载
- 积分：1
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生成灰度不均匀图像
说明： 灰度不均匀图像处理，具有优良效果，可以使用，效果较好(Uneven grayscale image processing, with excellent results, can be used, with better results)
- 2020-07-28 10:30:30下载
- 积分：1
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NMF-of-beta-divergence
这是著名的“Algorithmes de factorisation en matrices non-négatives fondée sur la beta-divergence”这篇文章算法的matlab源代码(This is the famous article " Algorithmes de factorisation en matrices non-ngatives fonde sur la beta-divergence" algorithm matlab source code)
- 2013-04-08 15:33:20下载
- 积分：1
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1
说明： 这是一个在vc6.0基于OpenCV的控制台程序，本例给出一个椭圆曲线拟合的例子，程序首先发现图像的轮廓，然后用椭圆逼近它。(This is a vc6.0 console based on the OpenCV procedures, in this case gives an example of elliptic curve fitting, the program first to discover the outline of the image, and then close it with an oval.)
- 2008-05-13 15:21:14下载
- 积分：1
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Face-Eye-Detection
说明： 一种人脸识别方法,是利用眼睛虹膜进行识别(A face recognition method is the use of iris identification)
- 2009-08-24 22:48:34下载
- 积分：1
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DPC
DPC算法的经典实现过程，包含元数据集、决策图以及2维条线下密度聚类(The classical implementation process of DPC algorithm includes metadata set, decision diagram and 2 dimensional lower density clustering)
- 2017-11-14 19:12:07下载
- 积分：1
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GetLunKuo
说明： 能精确的提取数字图像的轮廓。不管图形的形状如何，都能达到预期的效果。并且能将边界的坐标输出到一个文件中，供使用者分析数据。(Able to extract precise contours of the digital image. Regardless of the shape of how graphics can achieve the desired effects. The coordinates of the border and is capable of output to a file, for users to analyze data.)
- 2008-12-03 13:31:51下载
- 积分：1
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ADMM-MATLAB
说明： 基于ADMM的TV正则化最小化稀疏重建算法(TV Minimization Sparse Reconstruction Algorithms Based on ADMM)
- 2020-11-09 19:39:47下载
- 积分：1
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MATLAB-Functions-
计算机视觉经典著作《计算机视觉中的多视图几何》配套代码(MATLAB and Octave Functions
for Computer Vision and Image Processing)
- 2017-01-02 20:09:44下载
- 积分：1
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src
背景减除的完整算法，《A Statistical Approach for Real-time Robust Background Subtraction and Shadow Detection》作者源代码(The "src" folder contains all of the source code.
To run the program, follow these simple steps:
1. Start MATLAB and ensure the "src" folder is your current working
directory.
2. Edit "bs.m" and "classify.m" so that the file paths point to the
proper directories as specified.
3. In the MATLAB environment type "bs" which will train the background
model from the sequence you specified in (2).
4. In the MATLAB environment type "classify" which will classify the
sequence of images you specified in (2).
5. Now the classified images should be saved to disk in the folder you
specified in (2).)
- 2012-09-20 16:47:35下载
- 积分：1
