资源列表
Defect-detection
- 基于灰度图像进行傅立叶变换后的二值化处理-Binarization based on the Fourier transform after the gray image processing
finger_detect---PGH
- 基于vs2010+opencv2.4.4编写，根据成对几何直方图特征对中国手指语的静态图像进行识别-Based on vs2010+ opencv2.4.4 write, according to a pair of geometric histogram to identify characteristics of the Chinese language finger static image
zsdfx
- 分析图片的主色调程序 通过HSL色彩模型进行分析-Pictures of the main colors of program analysis and analyzed by HSL color model
MilTracker-V1.0
- MIL论文及源码，基于opencv1.0和IPP6.0。已调通，调试中可能出现的问题及解决方法在压缩包中。-MIL(Multiple Instance Learning)paper and source code.The code is based on opencv1.0 and IPP6.0.
OpenCV_MoveTest
- 利用opencv库对视频流进行检测，并且对视频二值化操作。-Using the opencv library to test the video stream, and binary operation on video.
LPR
- 对拍摄的图像进行车牌提取，2值化，形态学处理，后用轮廓定位定位出车牌位置，最后提取-Images captured license plate extraction, binarization, morphological processing, after the license plate with the outline of positioning positioning location, and finally extract
draw-characteristic-and-match
- 用sift方法检测图像的特征点，并且求出特征向量从而匹配图像。-Sift method is used to inspect the image feature points, and to find the feature vector which match the image.
Edge-detection-using-Canny
- 使用边缘检测的Canny算子检测圆形边缘，并且用哈夫方法检测圆形-Use the Canny edge detection operator to detect circular edge, and hough method is used to inspect the circular
sample
- python cv接口 样例解释比较清楚-python cv interface examples to explain more clearly
Key-frame-extraction
- 数字视频应用技术，基于opencv的边缘检测与关键帧的提取和保存-Application of digital video technology, extraction and preservation of OpenCV edge detection and key frame based on
FaceRegister
- 基于opencv人脸表情识别 源文件无cpp 仅有核心h-faceregister Based on opencv.\
camshift-CPP-
- opencv 与VS2010 实现动态障碍物的检测和跟踪 障碍物的检测为半自动的 -detection and tracking opencv obstacle detection and VS2010 achieve dynamic obstacles for semi-automatic