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improveeight
matlab代码 用改进的八点算法求基础矩阵，进而求本质矩阵及相机外参。(improve eight)
- 2020-10-25 15:50:00下载
- 积分：1
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双线性插值
利用双线性插值，获取亚像素位置的灰度值。适用于得到sift、surf得到的特征点坐标处的灰度值获取(The gray value of sub-pixel position is obtained by bilinear interpolation)
- 2018-10-08 14:47:10下载
- 积分：1
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fenqusuanfa
数字全息分区算法模拟，用于从一副同轴全息图中恢复出物体的像(digital holography)
- 2021-04-18 16:38:52下载
- 积分：1
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Make_chaos
说明： Make_chaos 将图像进行置乱，生成乱序图，以便进行水印嵌入(Make_chaos will Scrambling images, generate disorder plans for embedding)
- 2006-03-03 21:51:42下载
- 积分：1
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新建文件夹
图像拼接的Harris 算法，精确有效，实现图像无缝拼接，多幅图片显示，谢谢，希望得到采纳(image mosaicHarris algorithm for image mosaic, accurate and effective, seamless image mosaic)
- 2019-05-17 12:05:35下载
- 积分：1
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MATLAB
常规的中值滤波器，在噪声的密度不是很大的情况下效果不错。但是当概率出现的概率较高时，常规的中值滤波处理后，仍然具有噪声点，并丢失了细节和边缘，效果不是很好。
自适应中值滤波器可以尽可能的保护图像中细节信息，避免图像边缘的细化或者粗化。(The conventional median filter works well when the noise density is not very large. However, when the probability of probability is high, the conventional median filter still has noise points, and the details and edges are missing. The result is not very good.
The adaptive median filter can protect details in the image as far as possible and avoid thinning or coarsening of the image edges.)
- 2018-05-28 11:29:19下载
- 积分：1
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PHD_single_MM
用于单目标追踪的多模概率假设粒子滤波程序(MM-PHD for single target)
- 2013-05-07 11:16:39下载
- 积分：1
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image_deblur_and_source_image
图像去模糊处理的matlab源程序，附带源图片。是在经典图像模糊化的基础上进行恢复的，不是盲恢复(Image to fuzzy treatment matlab source, and with the source images. In classic blur image is conducted on the basis of the recovery, not blind recovery
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- 2011-12-22 14:36:56下载
- 积分：1
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gaborcreate
该代码描述了一种用Gar小波进行纹理特征提取方法，可用于图像分析、视频处理、以及模式识别前期建立模式向量。(The code describes a texture with Gar wavelet feature extraction methods can be used for image analysis, video processing, and pattern recognition pre-established pattern vector.)
- 2013-09-17 16:11:32下载
- 积分：1
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ppbNakagami
处理Gamma乘性噪声的PPB方法，考虑了非局部patch的相似性，可处理SAR图像去噪。(The PPB method for multicative noise removal, which based on the Probabilistic Patch similarity.)
- 2021-04-12 18:18:57下载
- 积分：1
