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FCSA_MRI1.0
有效地MR图像重建算法，主要用于在MR图像的成像过程中对图像进行压缩(Efficient MR Image Reconstruction for Compressed MR Imaging)
- 2015-03-03 07:28:42下载
- 积分：1
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super-reserlution
说明： 在一图像中加入噪声，是超分辨率中的一个重要步骤哦(noise)
- 2010-03-25 19:00:08下载
- 积分：1
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fast-parrallel-and-opta
经典复合式指纹细化算法源码，算法步骤为先用快速并行算法遍历，后用OPTA算法遍历，附有注释。(Classic composite fingerprint thinning algorithm source code, for the first step of the algorithm with fast parallel algorithm traversal traversal algorithm after using OPTA, annotated.)
- 2016-03-14 17:03:46下载
- 积分：1
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快速的Lee滤波算法
快速的Lee滤波算法，代码经过优化，修正和测试，能有效减少SAR图像中的斑点噪声。(Fast Lee filter algorithm, code optimized, modification and testing, can effectively reduce the SAR image speckle noise.)
- 2020-07-08 08:38:57下载
- 积分：1
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fanyanjiexi
说明： 仿真获取四幅互差半个像素的低分辨率图像，利用反演解析算法重建出一副高分辨率图像，属于亚像元技术或者超分辨率技术。(Simulation Interoperability poor access to four half-pixel low-resolution images, the use of inversion algorithm for the reconstruction of an analytic high-resolution images, belong to sub-pixel super-resolution technology or technology.)
- 2008-10-01 10:07:51下载
- 积分：1
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9DIProcess_Final
给图像加椒盐和高斯噪声，以及空域滤波（中值和均值滤波）！(to Image pretzels and Gaussian noise, and the spatial filter (mean values and filter)!)
- 2006-07-30 16:19:03下载
- 积分：1
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aaa
基于颜色的图像检索系统，带有两个图像数据库，采用分块图像检索方法。(Color-based image retrieval system, with two image databases, image retrieval method using block.)
- 2011-02-09 14:14:13下载
- 积分：1
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直方图算法
说明： HEBBHEDSIHERMSHERSIHE 可直接运行的直方图增强算法。(HEBBHEDSIHERMSHERSIHE can be directly run by histogram enhancement algorithm.)
- 2021-02-10 20:59:52下载
- 积分：1
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01
说明： 变速恒频双馈风力发电机基于电子磁链定向的空载并网仿真模型(Variable speed constant frequency doubly-fed wind generators no-load parallel simulation model
)
- 2011-05-13 16:19:31下载
- 积分：1
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SiftGPU-V370
说明： 使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors.
SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified.
SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided.
)
- 2011-02-23 10:20:27下载
- 积分：1
