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otsu
利用otsu算法实现图片的自动多阈值分割;用matlab编写的自动多阈值分割程序,分割图像之前采用自动平滑图像(Using otsu algorithm to realize multi- threshold segmentation of pictures)
- 2020-07-09 16:18:55下载
- 积分:1
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matlab_smooth
说明: 各种平滑算法验证,除在matlab中验证外,word文档中也有详细说明(various smoothing algorithm validation, in addition to verify Matlab, word documents also detail)
- 2006-05-05 22:40:42下载
- 积分:1
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mrf
MRF程序:建立了马尔科夫随机场 应用于图像去噪 不过此程序有待进一步调试(MRF procedure used in image denoising)
- 2010-09-13 20:10:49下载
- 积分:1
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SARmovingtarget
说明: SAR运动目标成像,包含了多个点目标,结果比较清晰(SAR Moving Target Imaging)
- 2019-03-27 19:06:21下载
- 积分:1
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EM_algorithm
非常好的EM算法介绍,不妨去看看.The Expectation Maximization Algorithm
A short tutorial(Very good introduction EM algorithm, may wish to go and see. The Expectation Maximization AlgorithmA short tutorial)
- 2008-06-30 22:46:01下载
- 积分:1
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yuzhi2
首先将RGB转换到HSV,再根据阈值进行HSV图像的分割(First convert RGB to HSV, then HSV image segmentation based on threshold)
- 2014-05-04 11:26:39下载
- 积分:1
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curves-movement-by-level-set-method
本程序采用水平集方法,演示了一个心形曲线在曲率力的作用下,逐渐消逝的过程。(This procedure uses the level set method, shows the process of a heart-shaped curve s disappearing under the force of the curvature.)
- 2020-12-21 16:09:08下载
- 积分:1
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sift
说明: SIFT特征点的提取和匹配,SIFT算法首先在尺度空间上进行关键点检测,确定关键点的位置和关键点所处的尺度,然后使用关键点邻域梯度的主方向作为该点的方向特征,最后由关键点邻域梯度信息生成关键点的特征向量(SIFT algorithm firstly detects the key points in the scale space, determines the location of the key points and the scale of the key points, then uses the main direction of the key point neighborhood gradient as the direction feature of the point, and finally generates the feature vector of the key points from the key point neighborhood gradient information)
- 2020-01-08 17:23:59下载
- 积分:1
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hyperAce
高光谱图像目标检测ACE算法,适用于已知目标信息情况(HYPERACE Performs the adaptive cosin/coherent estimator algorithm
Performs the adaptive cosin/coherent estimator algorithm for target detection.)
- 2020-10-26 17:10:00下载
- 积分:1
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Otsu
很好用的图像分割方法,大家可以试一下,我运行过了(Very good segmentation method, very useful, you can have a try, I used the effect is very good)
- 2013-09-02 16:36:04下载
- 积分:1