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TRAOD_Algorithm
基于轨迹划分的异常轨迹检测方法。首先采用两种分段粒度将每条轨迹分为若干子轨迹线段,然后,在基于距离的异常检测方法的基础上,引入调整系数的概念,采用密度与距离相结合的方法进行异常轨迹检测。
(Abnormal trajectory detection method based on trajectory partition.Firstly each trajectories should be divided into several substrajectories using two granularities. Then the notion of adjustment coefficient is introduced on the basis of distance based anomaly detection method, and the abnormal trajectories are detected combining density and distance.
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- 2020-11-08 18:09:47下载
- 积分:1
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MATLAB
基于阈值分割的运动车辆检测跟踪,在视频中按灰度阈值不同进行图像分割,并标记结果。(Threshold-based segmentation to track the movement of vehicles detected in the video by a different gray level threshold for image segmentation, and mark the results.)
- 2009-05-14 11:54:12下载
- 积分:1
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FWM-phase-match-wavelength
利用mathematica软件计算纳米光纤中的四波混频相位匹配曲线(FWM phase match wavelength calculation in nanofiber with mathematica)
- 2020-07-10 16:18:55下载
- 积分:1
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denoise
采用自适应非局部降噪的算法对图像进行去噪处理,能够实现不同算法的降噪处理(Using adaptive non-local denoising algorithm to denoise image can achieve denoising processing of different algorithms.)
- 2019-06-06 20:16:16下载
- 积分:1
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instfreq
亲自测试 完全可以运行且有效,求瞬时频率,各个版本的matlab 都ok(Test yourself Can be run completely and effectively)
- 2017-11-05 16:10:35下载
- 积分:1
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ImagePro
本人研究生阶段做的项目,线结构光视觉传感器的标定中的激光光条中心的提取。
1、通过JPG、PCX、GIF解码方法,来打开BMP、JPG、PCX、GIF格式图像。
2、大津展之法阈值变换,效果较好。
3、三种细化方法,Rosenfold细化、Hildith细化、Pavlidis细化。
4、基于灰度重心法的全分辨率的激光光条中心亚像素坐标的提取。(Calibration )
- 2010-03-12 11:43:58下载
- 积分:1
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lorenz1
对Lorenz系统混沌吸引子的仿真,直接能用。(The simulation of the chaotic attractor of the Lorenz system can be used directly.)
- 2017-12-26 17:03:08下载
- 积分:1
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Skeleton
数学形态学应用二值图像边界细化,以及二值图像骨骼化( Application of mathematical morphology refined binary image border, as well as binary image skeletonization )
- 2009-06-14 18:12:56下载
- 积分:1
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kldiv
KLDIV Kullback-Leibler or Jensen-Shannon divergence between two distributions.
- 2009-05-25 06:42:22下载
- 积分:1
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Texture_Synthesis_Image_Inpainting-master
通过基于纹理的图像修复算法对具有较大的破损区域的图像进行了修复;MATLAB代码(Texture based image restoration,MATLAB)
- 2021-04-19 09:58:51下载
- 积分:1