资源列表
Roberts
- 使用VC++实现Roberts边缘检测算子，实现对灰度图像的边缘检测-Using VC++ to achieve Roberts edge detection operator, to achieve the edge detection of gray images
Laplacian
- 利用VC++编程实现Laplacian边缘检测算子，实现对灰度图像的边缘检测-Using VC++ programming to achieve Laplacian edge detection operator, to achieve the edge detection of gray images
Krisch
- 利用VC++实现Krisch边缘检测算子，实现对灰度图像的边缘检测-Using VC++ to achieve Krisch edge detection operator, to achieve the edge detection of gray images
ImproveSobel
- 对传统的Sobel图像边缘检测算子进行改进，并通过VC++实现对灰度图像的边缘检测-The traditional Sobel image edge detection operator to improve, and through the VC++ to achieve
img_threshold_slicing
- 此文件执行阈值和图像的切片。 输出im，opim，opim1和opim2是原始图像，带有thresold的图像和切片图像。-This file performs the threshold and slicing of a image. The outputs, im, opim, opim1 and opim2, are the original image, the image with thresold, and sliced images.
MATLAB
- Graphical analyze audio in MatLab.
tongxing_new
- 图像桶形失真矫正。在飞行器中的视频拍摄中，寻线飞行时，需要图像的桶形矫正，虽然说不进行，影响不大，但在精确度要求高的情况下，这是有必要的-Image barrel distortion correction. In an aircraft video shooting, hunt flying, we need to correct the image of the barrel, though not carried little impact, but in the case of high
CastleMoat_2
- opengl code for a 3d castle
DeepFace
- DeepFace一文依旧是沿着“检测-对齐-人脸表示-分类”这一人脸识别技术路线来的，其贡献在于对人脸对齐和人脸表示环节的改进。1）在人脸对齐环节，引入了3D人脸模型对有姿态的人脸就行分片的仿射对齐。2）在人脸表示环节，利用一个9层的深度卷积在包含4000人、400万张人脸的数据集上学习人脸表示，这个9层的DCNN网络有超过1.2亿个参数。本文的模型在LFW数据集上取得了97.25 的平均精度（逼近了人类97.5 的极限），同时在Youtube数据集上取得了当前最好的结果，比之前的NO.1整整高
PIVlab
- PIV图像处理代码，使用NCC算法，matlab代码，自动生产仿真图片并计算，可以直接运行-PIV image processing code, NCC algorithm, matlab code, automatic production and image simulation calculations can be run directly
MatlabToolBox-PIV
- matlab 的PIV图片处理工具箱，添加到matlab的工具箱路径就可以直接使用，使用光流法处理PIV图片-The PIV matlab image processing toolbox, added to the matlab toolbox path can be used directly, using optical flow image processing PIV
roi
- opencv自动选择最大连通区域选取，并画出外接矩形。显示最大联通区域，在原图和二值化图像上。-opencv automatically the maximum connected region selection, and draw the circumscribed rectangle. Unicom maximum display area, and on the original binary image.