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juxingjiance
- opencv矩形检测，采用金字塔方法，可以对多幅图同时检测。-opencv rectangle detection, using the pyramid method, can simultaneously detect pieces of map.
RECTANGLE
- 一种快速的多边形和矩形检测算法，可以广泛的应用于各种目标识别领域-A fast polygon and rectangle detection algorithm can be widely used in various areas of target identification
myhough_1degree
- Hough算法检测矩形的长，并给出矩形的四个顶点坐标，极坐标中角度精度为1度。-Hough algorithm Detect long rectangle, and give the four vertices of rectangular coordinates, polar coordinates in the perspective of an accuracy of 1 degree.
detect
- 用于矩形检测的源代码，已配说明，易看懂。但不适合于车牌检测等复杂的矩形检测-Rectangular detection for the source code has been assigned that easy to understand. But not suitable for detection of license plate detection rectangular complex
RemoveBlackConnectedComponents
- 使用opencv去掉二值化图像中黑色面积较小的连通域。 程序中语句 tmparea = fabs(cvContourArea(contour)) 可以得到当前连通域的面积，当此面积小于阈值时对其填充为白色。 rect = cvBoundingRect(contour,0) 得到的是框住连通域的最小矩形，对矩形中的黑色部分将其填充为白色，但是这样的话，连通域6和4两个连通域被填充成了白色的矩形，这显然不符合我们的要求，这样就要判断此连通域是黑色联通域还是白色连通域，采用的方法是测试矩
detected-rectangle
- 利用opencv测量矩形的C++程序，可以直接检测出矩形，即使背景很复杂-Measured using a rectangle opencv C program, you can directly detect the rectangle, even if the background is very complex
detect-line-circle-and-rectangle
- 利用opencv_检测直线、线段、圆、矩形-Using opencv_ detect straight lines, line segments, circles, rectangles,
Nieuw-Rich-Text-document
- #include<graphics.h> #include<conio.h> main() { int gd = DETECT,gm,left=100,top=100,right=200,bottom=200,x= 300,y=150,radius=50 initgraph(&gd, &gm, C:\\TC\\BGI ) rectangle(left, top, right, bottom) circle(
hardexample
- 是指利用第一次训练的分类器在负样本原图上进行行人检测时所有检测到的矩形框，这些矩形框区域很明显都是误报，把这些误报的矩形框保存为图片，加入到初始的负样本集合中，重新进行SVM的训练，可显著减少误报。这种方法叫做自举法-The first is the use of trained classifier all detected rectangle detect pedestrians in the negative when the sample picture, the rectangular
squareD
- 结合opencv库的使用，用c++代码实现了图片里的矩形检测(use opencv, and c++ detect rectangle in image)