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Ransac
- RASANC去除无效点，实际测试，效果不错。-RASANC remove invalid points, good results.
000
- Mahalanobis距離是一個可以準確找出資料分布上面極端值(Outliers)的統計方法,使用線性迴歸的概念,也就是說他使用的是共變數矩陣以及該資料分布的平均數來找尋極端值的產生,而可以讓一群資料系統具有穩健性(Robust),去除不必要的雜訊訊息,這邊拿前面共變數矩陣的資料為例,並且新增了兩個點座標向量來做Mahalanobis距離的比較-Mahalanobis distance is the information that can accurately identify the dis
Vehicle1.3
- VC6.0 + QT4 + OpenCV 环境。演示视频地址http://v.youku.com/v_show/id_XMzA3MTU2Mzky.html (低角度车流量检测器)一种基于车头特征的车辆检测，很好的应用于低角度摄像机。与地感线圈车检器相比，解决了跟车问题。与传统基于背景建模的检测方法相比，解决了道路拥堵问题并解决了传统方法受限于摄像机必须架设很高的问题。同时能有效去除自行车、摩托车、行人的干扰，准确率可达95 。 all rights reserved by birdwcp-V
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
gaosibeijing
- 采用高斯模型对背景进行去除，效果比较好。-Gaussian model to remove the background, the results were quite good.
toumingse
- 基于OPENCV开发，去除图片中的背景色-To remove the background color of the image
1GHY3249HSV
- 基于HSV颜色空间的目标检测，先阈值化实现初步分割，再二值化H通道，阈值不同结果会有差异。最后进行噪声去除。 -Target detection based on the HSV color space, the first threshold value of the initial segmentation, and then binarized H channel, there is a difference between the different results of the t
find_connected_components
- 连通域法，将帧间差分或者平均背景法得到的图像进行去除噪声处理，使其得到光滑的图像-find connected components
RANSAC
- 提纯检测到的特征点的一个算法，可以和SIFT算法结合使用，去除一些误匹配的关键点，提高代码的执行效率-Purified feature points detected an algorithm that can be used in conjunction with SIFT algorithm to remove some of the mismatching of the key points to improve the efficiency of the implementation o
subtraction
- 图像减操作，对图像进行灰度化，腐蚀预处理，之后进行用原图像减去处理后的图像，再对图像进行平滑处理，能有效去除图像背景中的噪声-Subtraction image, the image gray, etching pretreatment, after subtracting the processed image with the original image, and then the image smoothing, can effectively remove noise in the i
cv_Gaussian
- 高斯滤波，基于OPENCV的内部调用函数，对图像信息进行高斯滤波，去除噪声-Gaussian filtering, call the function inside OPENCV based on image information Gaussian filtering to remove noise
smooth
- 平滑处理，基于OPENCV的内部调用函数，对图像进行平滑处理，去除边缘噪声-Smoothing OPENCV the internal call functions, image smoothing, edge noise removal
SRADPVS60
- vc6.0实现SRAD算法，即各向异性去斑噪算法，实现对图像的平滑去噪。在去除噪声的同时保持并增强了图像中目标的边缘。-vc6.0 realize SRAD algorithm, namely anisotropic speckle noise algorithm, to achieve image denoising smoothing. Remove the noise, while maintaining and enhancing the edge of the target image
yinying
- 较好地实现了阴影检测和去除的功能，采用的是OpenCV和C++来进行编程，对去除阴影有比较好的效果。-Well, we can realize the function of the shadow detection and removal, USES is OpenCV and c++ programming, have a good effect to remove the shadow
CleanNoise
- 清除二值化图像中面积较小的黑色连通域, 可以去除小于指定面积的图像噪点
Noise
- 用opencv实现往图片中添加椒盐噪声和高斯噪声，并去除这两种噪声。-Picture with opencv to add salt and pepper noise and Gaussian noise, and remove the two noise.
siftPransac
- SIFT点提取，KD树特征匹配，再用随机抽样一致算法去除无匹配-SIFT extraction, KD tree feature matching, and then remove the non-random sample consensus algorithm matches
Qt_RobHess_SIFT
- RobHess的SIFT源码 RANSAC去除误匹配-SIFT the source code for RobHess RANSAC remove false match
removearea
- 用opencv实现了MATLAB里面的bwareaopen函数，同时包含一个去除大面积的函数。-remove small and big area
opencv-python 去除图片文字
- opencv-python 去除图片文字