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gaborcreate
该代码描述了一种用Gar小波进行纹理特征提取方法，可用于图像分析、视频处理、以及模式识别前期建立模式向量。(The code describes a texture with Gar wavelet feature extraction methods can be used for image analysis, video processing, and pattern recognition pre-established pattern vector.)
- 2013-09-17 16:11:32下载
- 积分：1
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MedianValueFilter2006-10-24
Visual C++MATLAB图像处理与识别实用案例精选之 图像中值滤波 算法的源程序，含标准测试图片(Visual C MATLAB image processing and recognition practical case Featured's image filtering operator Law of the source, including standard tests Photo)
- 2006-10-24 16:27:59下载
- 积分：1
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0001
说明： 用MATLAB读取一幅任意大小和格式的彩色图片，并将图片数据保存到dat格式的m代码，同时还可以读取TXT格式的数据文件，并在MATLAB将其以图像的形式显示出来(Using MATLAB to read any size and format of a color image, and image data into m code dat format)
- 2009-08-15 13:31:13下载
- 积分：1
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GradsSharp
可用于CCS3.3的数字图像边缘锐化处理(Digital image edges can be used for sharpening CCS3.3)
- 2014-10-28 11:52:14下载
- 积分：1
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homework
应用于计算机视觉领域，运用单应性矩阵信息将两幅图片合成为一张(Used in the field of computer vision, using homography information will be combined into a two picture)
- 2009-09-14 22:19:39下载
- 积分：1
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next
QT 使用向导对话框,使用QWizard类实现多窗口切换(QT uses the Wizard dialog box)
- 2017-08-14 16:38:02下载
- 积分：1
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SP_Liu_TCSVT_code2014
说明： 用于显著性检测的对比算法SP的MATLAB版本，比较新的是2013年的，亲测可用(MatLAB version of SP, a contrast algorithm for saliency detection, is relatively new in 2013, and pro-test is available.)
- 2020-06-16 19:00:02下载
- 积分：1
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DebugDemo
设置位置断点跟踪程序，VC++精选编程源码，很好的参考资料。(Set breakpoint location tracking procedures, VC++ programming source code, a good reference.)
- 2013-11-26 09:57:15下载
- 积分：1
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mom
经典矩量法点匹配程序，重推导，注释说明详细(Classical point matching moment method procedure)
- 2011-05-12 23:00:16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
