搜索资源列表
houph_MFC
- 在MFC环境下用openCV实现sobel算子和霍夫变换检测直线和圆-In the MFC environment with openCV achieve sobel operator and the Hough transform detection of lines and circles
11_29_PPHT_and_Standard_H
- 在opencv下，利用标准霍夫变换和概率霍夫变换两种方式，进行了直线检测。都能很好的显示出来。-In the opencv environment, Using the PPHT and standard HT to detect lines in an image.
use_hough_transforms_to_detect_the_straight_lines.
- 利用霍夫变换寻找图像帧中的直线段并将其显示-Use Hough transform to find the image frame line segment and displays
VCDIP_P563
- OpenCV实现霍夫变换检测，比较简单，可以检测直线和圆周-OpenCV Hough transform to detect relatively simple, and can detect a straight line and circular
houghline
- 利用opencv库的霍夫变换实现图像中的直线提取并标记为红色-Opencv library Hough transform in image line extraction and marked in red
HoughLine
- 一个基于opencv库函数的VC工程，通过霍夫变换提取图像中的直线-One based on the opencv library function of the VC project, through the Hough transform to extract the linear image
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.
houghtest
- opencv3.0霍夫变换找直线，找圆，直接在视频状态下进行实时找直线，找圆-显示以下内容的翻译： opencv 3.0霍夫变换找直线,找圆,直接在视频状态下进行实时找直线,找圆 仍然翻译： opencv3.0霍夫变换找直线，找圆，直接在视频状态下进行实时找直线，找圆 opencv 3.0 Hough transform to find a straight line, find circle。 at the video state directly in real time to fi
Hough-transform
- 霍夫变换是一种在图像中寻找直线、圆及其他简单形状的方法，霍夫线变换是利用Hough变换在二值图像中找到直线-Hough transform is a find in the image lines, circles and other shapes simple method is to use the Hough transform Hough transform line to find a straight line in the binary image
LSD
- 直线检测通常选用霍夫变换法，但是Hought变换运行慢，而LSD快速直线检测，效率极大的增大-Line Detection Hough transform method is usually used, but the Hought conversion run slow, and LSD fast line detection, greatly increasing efficiency
霍夫变换
- 基于opencv和图像识别技术，使用霍夫变换检测图片直线。(Based on OpenCV and image recognition technology, Hof transform is used to detect picture lines.)
python-opencv镜头直线检测
- 通过二值化2、边缘检测、霍夫变换检测摄像头拍摄到的直线。(Binarization 2, edge detection, and Hough transform detect the line taken by the camera.)