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NED
利用小波熵自适应去噪并求出各层熵值(绝对值表示) 及权重,自写论文(Using wavelet entropy adaptive de-noising and the obtained layers entropy (absolute value) and weight, since writing papers)
- 2012-08-22 20:55:21下载
- 积分:1
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实现画矩形、椭圆和随手画功能
由VC实现画矩形、椭圆和随手画功能,对图像处理人员会有帮助(paintings by VC rectangular, oval and hand painting functions, image processing staff to be helpful)
- 2005-06-28 00:40:48下载
- 积分:1
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finally
实现了车辆目标的背景建模、前景检测、阴影消除、车辆跟踪(Achieve a vehicle target background modeling, foreground detection, shadow elimination, vehicle tracking)
- 2013-07-22 21:36:10下载
- 积分:1
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wancheng
电子稳像。。。基于灰度的电子稳像,利用matlab来实现的,,,,课程设计(Electronic image stabilization. . . Grayscale electronic image stabilization, the use of Matlab to achieve, and curriculum design)
- 2012-07-31 00:32:27下载
- 积分:1
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contourlet_toobox
说明: 图像特征提取的Contourlet变换工具包,可以设置分解层次,例如,三层分解提取17维特征,用于纹理图像或者SAR图像分割应用中(Image feature extraction toolbox of Contourlet transform, you can set the level of decomposition, for example, three level with 17-dimensional, for the segmentation on texture image or SAR Image)
- 2009-08-06 20:36:01下载
- 积分:1
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Image+retrieval+matla
我自己写的用hilbert曲线扫描图像后,进行图像检索的代码,里面有很多有用的代码,有部分是在国外网上淘的(I wrote it myself using hilbert curve scanned image after image retrieval code, which has many useful code, some of the Amoy abroad online)
- 2007-10-19 13:12:12下载
- 积分:1
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simfeat
简单特征提取算法:PCA,MNF,PLS,CCA,KPCA,KMNF,KPLS,KCCA等,用于图像的特征提取。(simple algorithm feature extraction ,for example: PCA,MNF,PLS,CCA,KPCA,KMNF,KPLS,KCCA,in order to extract the feature space of image.)
- 2020-11-13 16:19:43下载
- 积分:1
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SAR_edge_detection_matlab
一种比较实用的sar影像边缘检测算法,谢谢大家交流(A practical edge detection algorithm for SAR images. Thank you for your communication.)
- 2019-03-22 20:25:02下载
- 积分:1
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Bandelet
Bandelet变换的图像处理工具箱,包括图像处理的源程序(Bandelet transform image processing toolbox, including image processing of the source)
- 2010-12-06 23:01:07下载
- 积分:1
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LISQ
说明: 利用红黑小波进行图像去噪,图像复原,并与常规的小波进行比较(use red, black and wavelet denoising images, image recovery, and with the conventional comparison of wavelet)
- 2006-03-28 20:11:55下载
- 积分:1