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a-series-of-programs
ch5_1_1: 图像灰度线性变换 (§5 联合开发网 - pudn.com
- 2020-07-03 05:20:01下载
- 积分:1
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image-sharpness
图像清晰度评价,包含标准差,空间频阈,熵,bener(Image sharpness evaluation, including standard deviation, spatial frequency threshold, entropy, bener)
- 2013-05-24 17:20:31下载
- 积分:1
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originalpointanalyse2
源点定位程序,可用于检测连通域等功能,代码是c/c++的,放心使用。(Source point positioning procedures, can be used to detect other functions connected domain, the code is c/c++, and ease of use.)
- 2013-09-28 08:31:12下载
- 积分:1
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snake
主动轮廓模型也就是snake模型进行图像分割,一种由图像高层信息的图像分割算法。(snake model,active contour model,image segmentation)
- 2020-12-20 19:09:08下载
- 积分:1
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24368
程序将界面与数据处理分开,界面采用MFC的对话框模板,对注册、训练、识别和主界面分别建立一个类,通过消息处理函数与用户进行交互,利用多线程来实时显示图像。
数据处理又分为了CFaceAlign(人脸检测+几何归一化)、CLightPrep(光照归一化)、CFaceFeature(Gabor特征提取)、CSubspace(计算Fisherface子空间)四个类,还有一个类 CFaceMngr 负责管理界面与数据之间的交流。这样的程序结构使对界面和算法彼此独立,互不影响。
每个类的具体方法请见相应头文件中的注释。(The program will interface with the data processing separate interface using MFC dialog template, registration, training, recognition and the main interface, respectively, to create a class that interacts with the user through a message handler, using multiple threads to display images in real time.
  Data processing is divided into a CFaceAlign (Face Detection+ geometric normalization), CLightPrep (illumination normalization), CFaceFeature (Gabor feature extraction), CSubspace (computing Fisherface subspace) four categories, as well as a class is responsible for managing CFaceMngr interface and data exchange between. Such a program structure allows for interfaces and algorithms are independent of each other.
Specific methods of each class, see the comments in the appropriate header files.)
- 2015-04-13 10:05:34下载
- 积分:1
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代码
用于仿真OAM光束在真空中进行夫琅禾费衍射,附件是其相关书籍(Used to simulate Fraunhofer diffraction of OAM beam in vacuum)
- 2018-06-09 18:16:13下载
- 积分:1
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SURF
基于SUFT的特征提取与匹配,内涵详细的文档说明,很好的实现了特征提取与匹配,该方法较基本的SIFT有很大的提高(Extraction and matching of features based on SUFT, detailed content of the documentation, very good realization of the feature extraction and matching, SIFT the method is basic is greatly improved)
- 2013-10-04 11:10:04下载
- 积分:1
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pgm7
to find the the error in orginal and filtered image
- 2013-03-13 12:17:45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.
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- 2011-02-23 10:20:27下载
- 积分:1
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canny
基于Canny算子检测图像边缘,其中含有非极大值抑制功能。(Based on Canny operator edge detection image, which contains a non-maxima suppression.)
- 2013-11-17 20:06:46下载
- 积分:1