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vtk-CT(MC)
MC算法实现CT医学图像的三维重建，面绘制技术(MC algorithm CT medical image reconstruction, surface rendering technology)
- 2014-02-25 10:14:46下载
- 积分：1
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histogram_2
Code for make histogram of image
- 2012-06-19 02:16:11下载
- 积分：1
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bmpLoader--STL
VTK读取BMP序列图片实现MC算法面绘制，并且将绘制结果保存为STL格式。(VTK read BMP image sequences to achieve MC surface rendering algorithm, and the results will be drawn saved as STL format.)
- 2021-03-12 08:29:25下载
- 积分：1
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041156300Medical3D
RAw格式图片的显示，边缘检测，包括SOBEL算子，具有不同模板的拉普拉斯算子边缘检测，以及一些简单的滤波方式(sadfsadf asdfasdf asdf)
- 2013-11-26 10:44:44下载
- 积分：1
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Hough-transform
基于规格化Hough变换的天波超视距雷达检测前跟踪算法(Hough transform based on the normalized horizon radar detection and tracking algorithms)
- 2013-12-09 16:41:57下载
- 积分：1
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smooth
图像的平滑函数，对指定区域的图像，并有门限值和魔板大小限制。(the smooth of a bmp image)
- 2013-09-19 21:16:46下载
- 积分：1
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miyao
本文提出了基于二维混沌映射的数字图像水印算法，混沌具有随机性、似噪声及对初始条件的极端敏感性等特点。将经过二维混沌映射置乱后的数字水印信号嵌入图像小波域的低频系数，实现了数字水印的隐蔽性、保密性和稳固性；利用二维混沌映射Arnold变换对水印信号进行置乱，不仅增强了水印信号保密性，同时有效提高了视觉上抵抗图像剪切攻击的能力。(In this paper, two-dimensional chaotic map based on digital image watermarking algorithm, Chaos with random noise and the likelihood of extreme sensitivity to initial conditions and so on. Two-dimensional chaotic map will be scrambling after the digital watermark embedded image signal of the low-frequency coefficients in wavelet domain, the realization of a digital watermark hidden, security and stability the use of two-dimensional chaotic map on Arnold transform scrambling watermark signal, not only enhances the confidentiality of the watermark signal at the same time improve the visual image shear resistance attacks.)
- 2009-06-28 10:11:45下载
- 积分：1
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cubicfive
用C++编写的产生文章的程序，方便有需要的人(C generated articles prepared by the procedures that are accessible to people in need)
- 2007-05-11 09:18:16下载
- 积分：1
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chuhuaxihua1
粗化细化程序很好用的，大家试市啊，(crude refining procedures of the good, we take the city ah,!)
- 2006-11-11 20:52:48下载
- 积分：1
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cvpr01_zollei1109
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.)
- 2014-09-09 16:29:28下载
- 积分：1
