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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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07375357ezw
用霍夫曼编码，零树小波算法解码，图像处理过程(huffman encode ，ezw decode)
- 2015-12-07 13:51:34下载
- 积分：1
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CUDA_image-denoising
用CUDA并行处理方法改写的图像降噪算法，包括KNN,NLM,以及改进的NLM方法。配置环境适合VS2010+CUDA5.0,对使用CUDA的同学来说是很好的教材。(Image denoising algorithms including KNN,NLM and refined NLM run on CUDA, useful demo for who learns CUDA based parallel programming.)
- 2014-09-15 20:55:52下载
- 积分：1
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Research-of-FCM---based-on--swarm
本文是基于最新的模糊C均值彩色图像分割方法改进得来的新算法(This article is based on the fuzzy c-means clustering color image segmentation method of the latest paper)
- 2013-05-03 08:55:27下载
- 积分：1
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BenchmarkDataset
BenchmarkDataset,做图像处理的标准图像库(BenchmarkDataset, do image processing standard image library)
- 2013-05-23 11:18:48下载
- 积分：1
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improved_sigma_filtering
改进lee滤波源码，里面有im是原图 nim是噪声图像
- 2012-04-21 21:36:03下载
- 积分：1
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boundaries
图象特征的边缘轮廓提取算法，对初学者很有帮助。(characteristics of the image edge contour extraction algorithm, useful for beginners.)
- 2006-09-27 21:17:52下载
- 积分：1
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target-tracking-radar
下面是利用卡尔曼滤波的方法，实现雷达对目标的跟踪:一目标沿水平方向运动，起始位置为（－2000米，1000米），运动速度为15米/秒，扫描周期T＝2秒， 米，采用蒙特卡洛方法对跟踪滤波器进行仿真，仿真次数为100次。(Below is the use of Kalman filtering method, to achieve the target tracking radar. Parameter :: a target in a horizontal direction, the starting position (2000m, 1000m), the motion speed of 15 m/s, the scan period T = 2 seconds, rice, Monte Carlo method using the tracking filter simulation, simulation 100 times.)
- 2013-05-23 16:13:31下载
- 积分：1
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fina_deconvolution_code
在计算机视觉领域一种非盲去模糊的方法代码(A non-blind deblurring method code in the field of computer vision)
- 2020-06-23 22:40:01下载
- 积分：1
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OpenCVsurf
opencv是图像处理中常用到的工具箱，本资料为基于此工具箱的图像处理匹配算法SURF的实现代码。(opencv is commonly used in image processing to the toolbox, the toolbox based on this information for the image processing algorithm to match the achievement of SURF code.)
- 2009-06-22 15:46:18下载
- 积分：1
