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图像配准源码(ncc)
说明: matlab的图像配准源码,对图像处理理解有帮助(The source code of image registration in MATLAB is helpful for the understanding of image processing)
- 2020-03-25 13:40:16下载
- 积分:1
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motion
运动检测方法的实现,
这是最原始的方法实现,根据不同的应用可以对其进行相应的改进(Motion detection method realize that this is the most primitive method, according to different applications can be improved accordingly)
- 2008-07-03 09:29:19下载
- 积分:1
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image-segmentation
用matlab实现自适应图像阈值分割最大类方差法代码(Using MATLAB to achieve adaptive threshold image segmentation Otsu method code
)
- 2013-01-29 10:02:41下载
- 积分:1
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789CODING-FOR-mri-SEGMENTATION
CODING FOR NEW SEGMENTATION TECHNIQUE
- 2015-11-15 21:17:02下载
- 积分:1
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toushibianhuan
在matlab中实现透视变换。算法正确高效,这种仿射变换经过修改后可用于图像矫正或者摄像机标定等用途。(Matlab in perspective transformation. Correct and efficient algorithm modified this affine transformation can be used to image correction or camera calibration purposes.)
- 2013-03-26 18:57:50下载
- 积分:1
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deeplab V3和unet
利用全卷积神经网络,实现图像的语义分割,基于tensorflow的keras可以直接运行(Using the full convolutional neural network to achieve semantic segmentation of images, keras based on tensorflow can be run directly)
- 2019-05-31 22:03:57下载
- 积分:1
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SNR
计算一副图像,或者加噪声后图像信噪比和峰值信噪比,代码非常简洁方便,效率很高。(Calculate the image SNR and PSNR)
- 2021-03-15 15:09:22下载
- 积分:1
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传统图像增强
传统的几种图像增强与去噪方法,包括直方图处理,灰度变换,滤波去噪等几类。细分为直方图均衡化,直方图规定化,灰度线性变换,中值滤波,维纳滤波,同态滤波(The traditional methods of image enhancement and denoising include histogram processing, grayscale transformation, filtering and denoising. Subdivided into histogram equalization, histogram specification, gray level linear transformation, median filtering, Wiener filtering, homomorphic filtering)
- 2018-05-10 15:54:43下载
- 积分:1
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NECdigitalwatermark
经典数字水印算法,包括GUI实现
可直接运行(classic digital watermarking algorithm, including the realization of GUI can run)
- 2020-07-02 03:00:01下载
- 积分:1
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xiaobobao
基于小波包变换的去噪处理
全局阈值去噪图像
对图像进行平滑处理以增强去噪效果(中值滤波)(Denoising based on wavelet packet transform global threshold denoising image smoothing image enhancement and denoising effect (median filtering))
- 2012-06-21 10:30:41下载
- 积分:1