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ab
说明： 将图像进行各个角度的旋转，以及对两幅或多幅图像进行叠加(Each rotation angle of the image, and the two or more images are superimposed)
- 2014-06-20 13:34:13下载
- 积分：1
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Block_CS
基于分块可压缩传感的图像重建，里面包括contourlet、DWT、DDWT、DCT，图像压缩传感与重建。(Based on the sub-block compressible sensing image reconstruction, which include the Contourlet DWT DDWT,, DCT image compression sensing and reconstruction.)
- 2020-10-03 15:17:41下载
- 积分：1
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watermark
数字水印实现数字水印实现数字水印实现数字水印实现(The digital watermark digital watermark digital watermark to achieve)
- 2020-12-04 22:39:24下载
- 积分：1
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imnoise2
使用规定分布生成空间随机噪声，可以选择噪声类型和参数。(Using the prescribed distribution to generate spatial random noise, we can choose noise types and parameters.)
- 2018-04-16 10:13:34下载
- 积分：1
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imrotatex
自己用matlab语言编写的基于双线性插值的图像旋转程序(I have written based on the bilinear interpolation of the image rotation process)
- 2009-03-26 10:11:53下载
- 积分：1
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yalibiao
检测压力表的指针的角度信息，使用Hough变换的方法，去噪能力强。(Pressure gauge pointer is detected angle information, the use of Hough transform method, denoising ability.)
- 2015-03-18 17:34:58下载
- 积分：1
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MEAN_ratio
说明： 均值比差异图生成，用于SAR图像变化检测，生成差异图(mean ratio difference map generation, used for SAR image change detection, generate difference map)
- 2021-03-30 08:59:10下载
- 积分：1
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TV-image-restoration
tv图像修复，用matlab实现，包含源图像以及修复后的图像，有文字修复，划痕修复，小斑点修复等。(TV image restoration, using matlab implementation, including the source image and the image after the repair, the text repair, scratch repair, spot repair.)
- 2013-01-18 11:28:25下载
- 积分：1
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pics_match
用于图像拷贝检测的图像匹配，提取图像的SIFT特征点，构成图像的特征。(For image copy detection of image matching, image SIFT feature point extraction, and then sift feature point the image characteristics)
- 2013-08-27 15:46:21下载
- 积分：1
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siftDemoV4
SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。[1] 该方法于1999年由David Lowe[2] 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004年再次经David Lowe整理完善后发表于International journal of computer vision（IJCV）。截止2014年8月，该论文单篇被引次数达25000余次。(SIFT, namely Scale Invariant Feature Transform (Scale-invariant feature transform, SIFT), it is a description for image processing. This description has scale invariance, can detect critical point in the image, it is a local feature descriptor. [1] The method in 1999 by David Lowe [2] First published in the International Conference on Computer Vision (International Conference on Computer Vision, ICCV), 2004 was again perfect finishing after David Lowe published in the International journal of computer vision (IJCV) . As of August 2014, the paper cited the number of times a single article of more than 25,000 times.)
- 2020-07-15 20:18:51下载
- 积分：1
