资源列表
Method_01
- 利用OpenCV自带的cvMatchShapes方法进行轮廓匹配。可手动设置输入的两幅图像。程序中有对程序的注释和关键逻辑步骤的解释，该程序为轮廓匹配方法提供一定的思路，需要VC6.0+OpenCV_1.0-Contour matching using the cvMatchShapes method with the OpenCV. Two images manually set the input. Notes on procedures and key steps in the inter
OpenCV-CarPalate
- OpenCV 车牌精确定位 使用OpenCV的FindCountours函数-OpenCV Car palate registration
Hough_OpenCV244
- 本程序是利用OpenCV2.44+VS2008 VC++开发的，可以用Hough变换提取直线段。-This procedure is to use OpenCV2.44+ VS2008 VC++ development, you can use the Hough transform to extract line segments.
main
- 图像去雾处理，是关于何凯明的那篇获奖的文章的代码-Image processing to the fog, the essay is about winning articles He Kaiming code
abc
- opencv在VC++环境下图像平滑处理的四种常用方法-opencv environment in VC++ image smoothing the four common methods
meanshift-tracking-source
- mean-shift源程序，学习好代码,用于图像分割，识别和跟踪-menshift tracking source
opencvsift
- SIFT 算法提取图像局部特征， 成功应用于物体识别、图像检索等领域。SIFT 算法主要分为四个步骤： 检测尺度空间极值点、精确定位极值点、为每个关键点指定方向参数、关键点描述子的生成。-SIFT algorithm to extract local image features, successfully applied to object recognition, image retrieval and other fields. SIFT algorithm is divided into
Kalman-filter-sample-code
- 目标图像跟踪-Object tracking
123MNISTTrain
- 手写数字训练识别，基于MNIST库进行训练识别，6W个训练样本，识别率95 以上-Handwritten numeral recognition training, training on MNIST library identification, 6W training samples, the recognition rate of 95 or more
CV2_Learn_ContentFinder
- 使用opencv2写的，利用均值漂移（Mean Shift）算法查找感兴趣的物体。-Use opencv2 write, using mean shift (Mean Shift) algorithm to find the object of interest.
CV2_Learn_MorpFeature
- 使用opencv2写的，使用形态学滤波对图像进行边缘及角点的检测。-Use opencv2 write, using morphological filtering the image edge and corner detection.
CV2_Learn_LineFinder
- 使用opencv2写的，利用概率霍夫变换检测直线，并检测带有端点的线段。-Use opencv2 written using probabilistic Hough transform to detect straight line, and the line segment with endpoint detection.