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DTCWT-NLM-master
图像去噪,应用DTCWT 进行地震信号的去噪和重建(picture-denosing apply DCTWT into signal of earthquake denosing)
- 2021-04-17 10:28:53下载
- 积分：1
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sift
自己实现的sift特征提取的matlab代码，可以计算特征描述子用于图像匹配，不过速度有点慢(Own implementation of sift feature extraction matlab code to calculate feature descriptors for image matching, but a bit slow)
- 2011-05-28 17:04:24下载
- 积分：1
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exemplar-based-image-inpainting-master
图像修复算法 使用criminisi算法对破损图像进行修复。(The image restoration algorithm uses criminisi algorithm to repair the damaged image.)
- 2020-11-25 22:09:32下载
- 积分：1
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CS_OMP
说明： matlab实现基于稀疏表示的高光谱图像分类(Hyperspectral image classification based on sparse representation using MATLAB)
- 2021-01-08 16:17:13下载
- 积分：1
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yiweizuidashang
基于最大熵的图像分割阈值处理程序（单阈值）(Based on Maximum Entropy Image Segmentation threshold process (single-threshold))
- 2008-01-20 15:48:40下载
- 积分：1
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exa9_1_1
对于原始数据进行插值并抽取，从这个过程中将数据平滑化，得到理想的效果。(The original data for interpolation and extraction, data from this process will be smoothed to get the desired results.)
- 2012-01-11 23:18:47下载
- 积分：1
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yuezhifenggedejizhngsuanfa
在做图像处理时用遇到图像的阈值分割，这是几种图像的阈值分割方法(In doing image processing with experience image threshold segmentation, which is one of several image thresholding segmentation method)
- 2013-11-22 16:01:06下载
- 积分：1
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捷联惯性导航姿态解算原理及核心算法 inertial-navigation-algorithm
捷联惯性导航姿态解算原理及核心算法,从原理到最终程序实现(Strapdown inertial navigation attitude algorithm principle and the core algorithm, the principle to the final program)
- 2016-04-12 12:42:36下载
- 积分：1
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主要介绍了利用harris进行角点提取 project3
本文件主要介绍了利用harris进行角点提取，ncc算法进行粗匹配，ransac算法进行错误匹配点的消除(harris+ncc+ransac)
- 2012-06-04 08:34:48下载
- 积分：1
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Project_BFS
任务：用BFS或是DFS对图进行搜索，实现任何拓扑不连通的块的计算，算法要求写在CBFSSearch类中
工程名：Project_BFS
要求：对于生成的任意拓扑，求出其分枝个数，并输出每个分枝的节点
(Task: Using BFS or DFS for searching the graph to achieve any topology unconnected blocks calculation algorithm requires written in CBFSSearch class project name: Project_BFS Requirements: for generating arbitrary topology, find the number of its branches, and output node of each branch)
- 2013-08-21 17:03:04下载
- 积分：1
