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hhh
说明： 关于图像处理技术在冬小麦测试中的应用，用VC编的软件能对小麦进行二值化处理，中值滤波和灰度变换。(On image processing technology in the winter wheat test the application of the software made by VC on wheat binarization processing, median filtering and gray-scale transformation.)
- 2008-10-23 22:42:29下载
- 积分：1
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sift
sift匹配算法 尺度不变变换 特征描述子 特征点匹配 (sift match)
- 2020-12-10 10:49:21下载
- 积分：1
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raw2rgb
读取raw图，并转换为rgb图，显示转换后的rgb图(Figure raw read and convert rgb showing the converted diagram rgb)
- 2021-02-05 10:59:57下载
- 积分：1
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strongpicture
说明： 模式识别与图像处理，图像的边缘处理，增强(Pattern recognition and image processing, image edge processing, to enhance)
- 2008-11-23 15:33:39下载
- 积分：1
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tuxiang
实现指纹图像增强，直方图均衡化等空域增强后，在频域也进行增强。开发环境为MATLAB软件。(The realization of fingerprint image enhancement, histogram equalization, such as enhanced airspace, in the frequency domain also enhanced. Development environment for the MATLAB software.)
- 2009-05-26 13:29:18下载
- 积分：1
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niumou_v57
用于信号特征提取、信号消噪，MinkowskiMethod算法 ,未来线路预测,分析误差。( For feature extraction, signal de-noising, MinkowskiMethod algorithm, Future line prediction, error analysis.)
- 2016-05-13 17:20:38下载
- 积分：1
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jsttg
Complete class-based image processing, contains all of the source code, auto image, There are cycle detection, periodic testing, MIT Artificial Intelligence Laboratory identification of the target source.
- 2017-09-22 13:35:56下载
- 积分：1
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darkchannel
用matlab实现了暗通道图像增强，完整源代码，出自暗通道增强算法的提出者。(Dark-channel image enhancement, complete source code from the authors of the dark channel enhancement algorithms.)
- 2011-11-10 10:50:32下载
- 积分：1
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chap8
索书号文字图像分割
粘连字符切分
文字识别
彩色车牌分割
商标文字分割
文字识别的识别子函数
文字识别的结构特征提取子函数
(Call Number text image segmentation adhesion character segmentation of license plate character recognition color segmentation segmentation trademark character recognition text recognition Functions character recognition feature extraction structure Functions)
- 2007-07-15 10:17:38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
