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Ms-matlab
mean shift matlab源码，程序比较简单(mean shift matlab source code, the program is relatively simple)
- 2008-04-22 11:17:13下载
- 积分：1
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Nonsampling_Contourlet
说明： 非下采样contourlet变换是一种较新的多尺度几何分析方法，能够很好地描述信号的线奇异特征，具有多方向滤波器组。(Nonsubsampled contourlet transform is a relatively new method of multiscale geometric analysis, can well describe the signal characteristics of the line singularity, with multi-directional filter.)
- 2010-04-20 09:21:50下载
- 积分：1
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FCM_Sparse
FCM和稀疏场水平集用于分割医学图像分割(FCM and sparse field level set for segmentation of medical image segmentation)
- 2016-04-19 18:18:56下载
- 积分：1
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GUI
本压缩文件利用Matlab制作了一个能识别居民身份证号码的系统，使用图像处理技术，实现了计算机识别数字的功能。(The compressed file using the Matlab made a system can identify the identity card number, using image processing technology, realized the function of the digital computer identification.
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- 2013-10-16 10:35:43下载
- 积分：1
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Gaborwavorforedge
Gabor小波提取图像纹理特征，matlab语言编写。(Gabor wavelet extraction image texture features, Matlab language.)
- 2020-06-30 02:20:01下载
- 积分：1
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cfar
说明： CA-CFAR的仿真程序，对初学者十分友好。(The simulation program of CA-CFAR is very friendly to beginners.)
- 2019-05-10 09:44:39下载
- 积分：1
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DIP
包含二值化、canny算子边缘检测、感兴趣区域提取、自动多阈值分割等程序，及分水岭分割和连通域字符识别两篇文章。(Contains two values, canny edge detection, region of interest extraction, automatic threshold segmentation procedures, and watershed segmentation and character recognition two articles connected domains.)
- 2013-05-23 11:36:52下载
- 积分：1
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singalframenuc
通过统计直方图并作相应的处理完成了红外图像非均匀性校正，特别是针对红外图像中常见的条纹非均匀性(Through statistical histogram and processed accordingly infrared image non-uniformity correction, especially for the common striped infrared image non-uniformity)
- 2021-02-10 16:29:52下载
- 积分：1
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0307152v2[1]
说明： 在稀疏域中，基于迭代阈值的线性反转问题，Daubechies 的经典外文文章，用于压缩感知(In the sparse domain, iterative threshold-based linear inversion problem, Daubechies classic foreign language articles for compressed sensing)
- 2010-05-03 12:10:07下载
- 积分：1
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dcm
实现dicom图像的窗宽窗位调节和边缘提取(Window width adjustment and edge extraction of DICOM image)
- 2021-03-09 20:29:27下载
- 积分：1
