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基于radon正反变换的多次波去除
说明： 基于radon正反变换的抛物线型多次波去除(Removal of parabolic multiple waves based on Radon transform)
- 2020-05-28 22:05:40下载
- 积分：1
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Image-Restoration-by-total-variation
基于全变分（TV）的多光谱遥感图像恢复。当多光谱图像中一个通道模糊时，利用其它通道的图像特征辅助进行去模糊或反卷积，效果不错！！附带有对应的文章做参考。(This is a new image restoration or deconvolution method, which uses one of clear band image to constraint Total Variation de-blurring of degraded band image in multispectral image. It tested with different noise with different regularization parameters. It also compared with otherhods.)
- 2013-08-30 22:13:45下载
- 积分：1
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SPECKLE
斑点噪声的去除方法，主要适用sar图像，比较适合开题使用(Speckle noise removal methods, mainly for sar image, more suitable for the use of open questions)
- 2014-12-09 11:06:04下载
- 积分：1
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SPIHT_Matlab
应用于图像压缩的SPIHT算法代码，此代码的步骤很清晰，我自己加了很多注释，特别好理解。(SPIHT code which is used in image compression,with many notes of my own so really easy to understand.)
- 2014-05-15 17:11:39下载
- 积分：1
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multi_centroid
多目标质心的求取，matlab代码，适合图像处理初学者(Center of mass to strike multiple targets, matlab code for image processing for beginners)
- 2011-10-08 16:40:14下载
- 积分：1
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myASM
说明： 自己写的Active Shape Model face segmentation 代码 (Write their own Active Shape Model face segmentation code)
- 2008-10-28 19:27:07下载
- 积分：1
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基于MATLAB的图像面积测量方法
说明： 用MATLAB实现不规则图像的面积测量，采用像素灰度值的占比进行实现(Area Measurement of Irregular Images Using MATLAB)
- 2020-11-06 17:49:49下载
- 积分：1
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基于otsu的自适应阀值canny边缘检测 otsu-canny
基于otsu的自适应阀值canny边缘检测(adaptive canny edge detection based on otsu)
- 2020-06-27 02:00:02下载
- 积分：1
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PCA_change_detecttion
变化检测的常用方法：基于pac的变化检测方法，结果很好！(Common method of change detection: pac change detection method based on the results of good!)
- 2020-11-22 14:49:34下载
- 积分：1
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DRLSEBasedMovingObjectSegmentation
一种基于改进DRLSE的运动目标分割方法,为了得到精准、连续的运动目标轮廓，提出将帧间差分法和改进的距离规则水平集演化(DRLSE)方法结合应用于运动目标分割。(In order to get an accurate and continuous contour of moving target, a novel method to segment moving object by combining the frame difference and an improved distance regularized level set evolution (DRLSE) is proposed. )
- 2014-10-29 19:37:10下载
- 积分：1
