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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
hand-detection
- 使用opencv，采用肤色原理检测手部位置，有一些噪声，但相对于手部位置比较容易去除。-In this post, as the progress goes, the hand detection technologies using openCV is introduced. As the pictures inllustrated below, this detection method is independent with distance and background ( just
Geometric-Image-Transformations
- example about basic processing image with opencv ( transform, filter, segment ..)
extract
- 利用opencv获取含有最大轮廓的局部图-segment the sub image inluding the maximum size of contours with opencv
segment.tar
- segment opencv chapter 5 cookbook
segment
- opencv 在OpenCv中实现了三种跟图像分割相关的算法，它们分别是：分水岭分割算法、金字塔分割算法以及均值漂移分割算法-opencv， image segmentation。watershed segmentation algorithm, pyramid segmentation algorithm and mean shift segmentation algorithm.
hough
- 利用霍夫变换的方法对图像中的线段进行检测，并将检测出的线段在图像上显示出来-The method of use of the Hough transform to detect the segment in the image, and the detected lines on the image displayed
EDTest
- 边缘和线段检测，源于SCI文章附的代码。-Edge Drawing: A combined real-time edge and segment detector
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.
Kalman
- 包括vb vc opencv 的卡尔曼滤波tracking 程序段 -Including the Kalman filter tracking of program segment vb vc opencv
renliantest
- opencv的人脸识别程序段 运行环境是vs2010-opencv face recognition program segment operating environment is vs2010
segment
- 实用形态学滤波对图像进行腐蚀、膨胀、开闭、边缘及角点检测、分割，实用GrabCut算法提取前景物体-File: morphology.cpp correspond to Recipes: Eroding and Dilating Images using Morphological Filters Opening and Closing Images using Morphological Filters Files: morpho2.cpp morpho
segment
- 对超声图像的去噪和分割，可以显示肿瘤图像的边缘和面积-For ultrasound image denoising and segmentation, image can show the tumor edge and area
segment
- 图像分割，使用opencv2.49库文件-image segment
LSDTester
- its a implementation of LSD into opencv. LSD is a linear-time Line Segment Detector giving subpixel accurate results. It is designed to work on any digital image without parameter tuning. It controls its own number of false detections. can be reach
videoseeds
- 对视频进行超体素分割，类似于图像上的超像素分割。-segment the video to Supervoxel
KMkeen
- 基于人类视觉将图像分割成若干个有意义的区域是目标检测和模式识别的基础。图像分割属于图像处理中一种重要的图像分析技术。图像分割的基本方法是对灰度图像分割，处理图像的亮度分量，简单快速。本论文介绍了传统的图像分割与K-均值聚类算法分割，然后利用OpenCV函数将其实现，并介绍了OpenCV中图像分割相关的基本函数。-Based on the human visual image is segmented into several meaningful regions is the basis for
handExtraction
- 手势识别程序，前后景分割，提取手部轮廓并动态跟踪-handdetect ,segment of front and background
segment
- 一个学生写的Graph Cuts算法用于分割的OpenCV实现-Graph Cuts Segmentation in OpenCV
用OPENCV提取ROI
- 用opencv分割图像，可能对特定的图像管用，可以适当修改参数，达到所需要的效果(ROI segment:Using OpenCV to segment images, it can be used for specific image tubes, and can modify parameters appropriately to achieve the desired results.)