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DespeckleRef201507

于 2018-03-03 发布 文件大小:5044KB
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  用于医学影像噪声去除，对散斑噪声有良好得滤除作用，运行时间短(Removal of medical image noise)

文件列表：

DespeckleRef201507, 0 , 2016-12-06
DespeckleRef201507\data-results.txt, 452 , 2015-08-26
DespeckleRef201507\DespeckleZyyZhengli.asv, 1286 , 2015-07-14
DespeckleRef201507\DespeckleZyyZhengli.m, 1324 , 2015-07-14
DespeckleRef201507\Despeckle_real.m, 2800 , 2012-06-27
DespeckleRef201507\Despeckle_sim.m, 2498 , 2015-07-11
DespeckleRef201507\Effect_despeckle.m, 3249 , 2012-06-27
DespeckleRef201507\ENL.m, 116 , 2010-06-19
DespeckleRef201507\EuclideanDis.m, 104 , 2012-05-11
DespeckleRef201507\exceedIndex.m, 196 , 2011-11-24
DespeckleRef201507\expendim.m, 625 , 2012-06-04
DespeckleRef201507\FOM.m, 575 , 2014-02-28
DespeckleRef201507\functions, 0 , 2016-12-06
DespeckleRef201507\functions\Despeckle, 0 , 2016-12-06
DespeckleRef201507\functions\Despeckle\Index, 0 , 2016-12-06
DespeckleRef201507\functions\Despeckle\Index\ENL.m, 116 , 2010-06-19
DespeckleRef201507\functions\Despeckle\Index\FOM.m, 575 , 2014-02-28
DespeckleRef201507\functions\Despeckle\Index\MSE.m, 63 , 2010-11-12
DespeckleRef201507\functions\Despeckle\Index\MSSIM.m, 538 , 2011-12-11
DespeckleRef201507\functions\Despeckle\Index\Q.m, 1313 , 2010-12-08
DespeckleRef201507\functions\Despeckle\Index\SNR.m, 196 , 2012-01-07
DespeckleRef201507\functions\Despeckle\lee.m, 2234 , 2012-06-19
DespeckleRef201507\functions\Despeckle\NLmCode, 0 , 2016-12-06
DespeckleRef201507\functions\Despeckle\NLmCode\EuclideanDis.m, 104 , 2012-05-11
DespeckleRef201507\functions\Despeckle\NLmCode\exceedIndex.m, 196 , 2011-11-24
DespeckleRef201507\functions\Despeckle\NLmCode\expendim.m, 625 , 2012-06-04
DespeckleRef201507\functions\Despeckle\NLmCode\mmr.m, 343 , 2011-11-30
DespeckleRef201507\functions\Despeckle\NLmCode\MotionEstimation, 0 , 2016-12-06
DespeckleRef201507\functions\Despeckle\NLmCode\MotionEstimation\dmove.m, 1051 , 2011-11-23
DespeckleRef201507\functions\Despeckle\NLmCode\MotionEstimation\funcMAD.m, 75 , 2011-11-23
DespeckleRef201507\functions\Despeckle\NLmCode\MotionEstimation\match_big.m, 1648 , 2011-11-24
DespeckleRef201507\functions\Despeckle\NLmCode\MotionEstimation\match_small.m, 918 , 2011-11-24
DespeckleRef201507\functions\Despeckle\NLmCode\MotionEstimation\velocityField.m, 495 , 2011-11-28
DespeckleRef201507\functions\Despeckle\NLmCode\NLM.m, 1275 , 2012-06-20
DespeckleRef201507\functions\Despeckle\NLmCode\NLMeanPixel.m, 963 , 2012-06-20
DespeckleRef201507\functions\Despeckle\NLmCode\NLMeans.m, 235 , 2012-06-20
DespeckleRef201507\functions\Despeckle\NLmCode\NLMeansBlock.m, 1046 , 2012-01-08
DespeckleRef201507\functions\Despeckle\NLmCode\OBNLM.m, 591 , 2012-06-27
DespeckleRef201507\functions\Despeckle\NLmCode\pearsonDis.m, 73 , 2011-11-25
DespeckleRef201507\functions\Despeckle\NLmCode\TSNLM.m, 1287 , 2012-06-27
DespeckleRef201507\functions\Despeckle\NLmCode\weightCoef.m, 220 , 2012-06-05
DespeckleRef201507\functions\Despeckle\NLmCode\weightCoefnlm.m, 83 , 2012-06-04
DespeckleRef201507\functions\Despeckle\NWMD, 0 , 2016-12-06
DespeckleRef201507\functions\Despeckle\NWMD\class_th.m, 211 , 2010-04-28
DespeckleRef201507\functions\Despeckle\NWMD\decompose.m, 279 , 2010-04-23
DespeckleRef201507\functions\Despeckle\NWMD\dec_scale.m, 1603 , 2010-04-28
DespeckleRef201507\functions\Despeckle\NWMD\diffusion_th.m, 306 , 2010-04-22
DespeckleRef201507\functions\Despeckle\NWMD\fit_mix_Rayleigh.m, 2084 , 2012-05-14
DespeckleRef201507\functions\Despeckle\NWMD\g.m, 421 , 2010-04-22
DespeckleRef201507\functions\Despeckle\NWMD\homo_region.m, 532 , 2010-04-23
DespeckleRef201507\functions\Despeckle\NWMD\nor_modul.m, 586 , 2012-05-14
DespeckleRef201507\functions\Despeckle\NWMD\NWMD.m, 1217 , 2012-05-14
DespeckleRef201507\functions\Despeckle\NWMD\para_Ray.m, 355 , 2012-05-14
DespeckleRef201507\functions\Despeckle\NWMD\reconstruct.m, 213 , 2010-04-22
DespeckleRef201507\functions\Despeckle\NWMD\rec_scale.m, 1990 , 2010-04-23
DespeckleRef201507\functions\Despeckle\SBF.m, 1794 , 2012-06-19
DespeckleRef201507\functions\Despeckle\speckle.m, 261 , 2012-06-19
DespeckleRef201507\functions\Despeckle\srad.m, 2303 , 2014-02-27
DespeckleRef201507\functions\Segmentation, 0 , 2016-12-06
DespeckleRef201507\functions\Segmentation\drlse_edge.m, 3595 , 2011-03-15
DespeckleRef201507\functions\Segmentation\energy_LV.m, 2918 , 2012-06-16
DespeckleRef201507\functions\Segmentation\energy_LV2.m, 3309 , 2012-06-16
DespeckleRef201507\house.png, 34985 , 2005-09-11
DespeckleRef201507\images, 0 , 2016-12-06
DespeckleRef201507\images\DM1.bmp, 75878 , 2012-06-20
DespeckleRef201507\images\DM2.bmp, 75878 , 2012-06-20
DespeckleRef201507\images\DM3.bmp, 75878 , 2012-06-20
DespeckleRef201507\images\DMzs.avi0001.bmp, 1440054 , 2012-06-13
DespeckleRef201507\images\DM_parameters.mat, 11480868 , 2012-06-27
DespeckleRef201507\images\gourd.bmp, 5798 , 2010-04-05
DespeckleRef201507\images\kidney_cut.bmp, 246782 , 2008-06-05
DespeckleRef201507\images\WBL1.bmp, 87302 , 2012-06-20
DespeckleRef201507\images\WBL2.bmp, 87302 , 2012-06-20
DespeckleRef201507\images\WBL3.bmp, 87302 , 2012-06-20
DespeckleRef201507\images\WLMs, 0 , 2016-12-06
DespeckleRef201507\images\WLMs\WLMs.avi0001.bmp, 1440056 , 2012-06-19
DespeckleRef201507\images\WLMs\WLMs.avi0002.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0003.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0004.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0005.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0006.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0007.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0008.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0009.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0010.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0011.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0012.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0013.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0014.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0015.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0016.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0017.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0018.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0019.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0020.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0021.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0022.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0023.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0024.bmp, 1440054 , 2012-06-08
DespeckleRef201507\images\WLMs\WLMs.avi0025.bmp, 1440054 , 2012-06-08

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  • qicanshu
    说明：  用于三维空间坐标系变换的7参数模型，在设计坐标系变换的各行业应用中用的最多，从数学角度来说也是最严密的转换方法。 由于结果中最多可求得七个转换参数，即三个平移参数、三个旋转参数(Ex、Ey、Ez)和一个尺度缩放因子(m)，因此，通常也被称为七参数法。 (Three-dimensional coordinate system transformation for the 7 parameter model, coordinate system transformation in the design of applications using the most, the industry, from the mathematical point of view, the conversion is the most rigorous methods. Since the results can be obtained up to seven transformation parameters, ie three translation parameters, three rotation parameters (Ex, Ey, Ez) and a zoom scale factor (m), therefore, often referred to as seven-parameter method.)
    2011-04-05 09:09:15下载
    积分：1
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    利用压缩感知实现波达方向估计，运用奇异值分解对接收信号进行降维，再利用L1范数进行估计(Using compressed sensing DOA estimation using singular value decomposition to reduce the dimensionality of the received signal, and then using the L1 norm estimate)
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    医学图像配准，医学图像2D_3D配准，基于vc++开发。(The registration of pre-operative volumetric datasets to intra-operative two-dimensional images provides an im- provedway of verifying patient positionandmedical instru- ment location. In applications from orthopedics to neuro- surgery, it has a great value in maintaining up-to-date in- formation about changes due to intervention. We propose a mutual information-based registration algorithm which es- tablishes the proper alignment via a stochastic gradient as- centstrategy. Ourmaincontributionliesinestimatingprob- ability density measures of image intensities with a sparse histogrammingmethodwhichcouldlead to potentialspeed- up over existing registration procedures and deriving the gradient estimates required by the maximization procedure. Experimental results are presented on fluoroscopy and CT datasets of a real skull, and on a CT-derived dataset of a real skull, a plastic skull and a plastic lumbar spine seg- ment.)
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    积分：1
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    Susan算法，用于角点检测。很先进的方法，国内有人改进过，这是原来的方法。(Susan algorithm for corner detection. The most advanced methods, there are those who improved, this is the original method.)
    2008-07-13 17:22:03下载
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    关于运动目标检测基础算法，混光流法合高斯模型、均值法、及帧间差分法(Moving target detection algorithm based on mixed Gaussian model optical flow together, mean method, and the inter-frame difference method)
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    利用halcon mfc写了一个模板匹配demo，可以基于形状匹配，形状缩放匹配，灰度匹配对图像进行匹配
    2019-06-06下载
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    图像处理源代码，基于Hough变换的人眼虹膜定位方法，基于Kalman滤波的目标跟踪，基于模糊集的图像增强方法，基于蚁群算法的图像边缘检测。等等(Image processing source code, Hough transform based human eye iris location method, Kalman filter based target tracking, fuzzy set based image enhancement method, ant colony algorithm based image edge detection. and many more)
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    2016-11-11 16:53:53下载
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