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Images-denoising--based-on-wavlet
从原始图像产生噪声图像，使用db1执行2层小波，使用wpbmpen进行全阈值选择，采用硬阈值和软阈值处理方式,保存低频,进行图像降噪，并绘制各分解系数图像。(Generated noise image from the original image, using db1 wavelet perform two layers using wpbmpen full-threshold selection, using hard threshold and soft threshold approach, saving low frequency, image noise reduction, and draw the decomposition coefficients images.)
- 2013-11-22 15:55:18下载
- 积分：1
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imageprocessing
多种图像处理基本方法的源代码，包括图像分割和边缘检测，非常适合初学者参考使用。(A variety of basic methods of image processing source code, including image segmentation and edge detection, is suitable for beginners reference.)
- 2010-05-28 18:03:21下载
- 积分：1
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MZigZag
ZIGZAG程序，实现对图像矩阵ZIGZAG顺序读取。通常作为函数调用。还有就是霍夫曼编码的程序，得到图像霍夫曼的编码(ZIGZAG procedures ZIGZAG image matrix to achieve the order read. Usually as a function call. There is the Huffman code procedure, the image encoding Hoffman)
- 2008-04-30 15:54:11下载
- 积分：1
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tif2raw
说明： 一个matlab小程序，用来将tif序列图片转换成envi可读取的raw文件(A matlab applet for converting TIF sequence images into envi readable raw files)
- 2019-02-19 16:20:23下载
- 积分：1
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matlab_zq
对RGB图象的处理,一般要进行增强以达到去噪,锐化的功能,本程序在拉普拉斯算子基础上实现的(RGB images of the treatment, the general should be enhanced in order to achieve de-noising, sharpening function, the procedures in the Laplacian, based on the)
- 2008-05-11 18:08:04下载
- 积分：1
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BEMD_code
把一幅图像进行经验模式分解，结果为不同频率分量的IMF，用于希尔伯特黄变换，图像去噪等(empirical mode decomposition)
- 2020-07-04 01:40:01下载
- 积分：1
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NonlinearEnhancement
滤波器图像增强的matlab算法实现程序。本人自己给出的程序代码(gabor wavelet matlab algorithm. Program code given by the original author)
- 2012-11-20 10:28:49下载
- 积分：1
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lena512color
tiff格式的lena原图，该图像包含了各种细节、平滑区域、阴影和纹理，这些对测试各种图像处理算法很有用。(Lena artwork in TIFF format,The image contains a variety of detail, smooth areas, shadows, and textures, which are useful for testing various image processing algorithms.)
- 2020-07-04 14:20:01下载
- 积分：1
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voronoi3d
python实现的三维空间维罗尼图算法演示。(3d voronoi use python)
- 2020-07-16 10:28:49下载
- 积分：1
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SURF
基于SUFT的特征提取与匹配，内涵详细的文档说明，很好的实现了特征提取与匹配，该方法较基本的SIFT有很大的提高(Extraction and matching of features based on SUFT, detailed content of the documentation, very good realization of the feature extraction and matching, SIFT the method is basic is greatly improved)
- 2013-10-04 11:10:04下载
- 积分：1
