资源列表
ART_FLA
- art图像重构算法，算法先模拟出投影数据，然后对投影数据进行重构-art image reconstruction algorithm, the algorithm first simulated projection data, and then reconstructed projection data
abc
- 背景差分计算，实现背景与前景的灰度差，以及均方差值-Background difference calculated to achieve the gray background and foreground poor, and the mean square difference
tuxiangchuli
- 可以实现图像的预处理，主要包括灰度化、二值化、边缘检测、高斯去噪、细化、平移和旋转以及分割归一化处理等。-Can achieve image preprocessing, including graying, binarization, edge detection, Gaussian noise removal, thinning, translation and rotation and dividing normalized treatment.
block-matching
- 块匹配算法，包含全搜索算法，菱形搜索算法，十字菱形搜索算法，六边形搜索算法，十字六边形搜索算法-Block matching algorithms, including full search algorithm, diamond search algorithm, cross diamond search algorithm, hexagonal search algorithm, cross-hexagon search algorithm
Image-segmentation-source-code
- 利用直方图双峰法阈值分割法、基于最大信息熵算法、基于区域的图像分割方法和基于边缘检测方法对图像进行分割程序代码-Bimodal histogram thresholding method based on maximum entropy algorithm, based on the area of image segmentation and edge detection method based on image segmentation program code
halcon-(2)
- halcon 图像处理一些简单的例程，了解基本算子很有帮助。-halcon some simple image processing routine is helpful to understand the basic operators.
TestCode
- halcon 检测实际例程 可以研究一下相关例程-halcon detection routines can look at the actual routines
Space_Filter
- 空间滤波的简单实现，为什么自己写的时候就完成不了呢？-Spatial filtering
meanshift
- 学习meanshift算法的资料，里面有源码，matlab环境，希望对大家有用-study meanshift
voc-release5
- 程序是在Linux下运行的，是基于可变形部件模型开发的MATLAB程序，目前是VOC较新版本，可用于车，人，鸟等等很多之类的检测。-the program is executed in the system of Linux, the programming language is matlab it was developed mainly based the mdoel of Deformable Part Model.
CAMSHIFT_MFC
- 用MFC实现camshift算法,不用写输入路径，直接添加.avi文件即可。-Camshift algorithm with MFC, do not write the input path, directly added. Avi files.
microexpression-spotting
- 微表情最重要的论文，对表情视频帮助很大，希望研究心理学的朋友，研究视频分析的朋友加我好友，站内消息我，共同学习-Microexpressions most important papers, videos of expression of great help, I hope to study psychology friends, study video analysis friend add my friend, station news to me, learning together