opencv object detection

Edge Detection Based on OpenCv-Laplacian operator, scharr filter, and laplacianscharrLaplacian Operator Edge Detection Original graph Grayscale chart Scharr filter Edge Detection Original graph X direction Y direction Scharr merge chart 1. Introduction to Laplacian Operators Laplacian operator is a second-order d

:\\test.jpg"); $iplimage* Img_gray = Cvcreateimage (Cvsize (Img_rgb->width, img_rgb->height),Panax NotoginsengImg_rgb->depth, - 1 the ); + A Cvcvtcolor (Img_rgb, Img_gray, Cv_bgr2gray); the +iplimage* IMG_CNY = Docanny (Img_gray, -, Max,3); - $Cvshowimage ("Example1", Img_gray); $Cvshowimage ("Example2", IMG_CNY); - -Cvwaitkey (0); the -Cvreleaseimage (Img_rgb);WuyiCvreleaseimage (Img_gray); theCvreleaseimage (img_cny); - WuCvdestroywindow ("Example1"); -Cvdestroywindo

Original address: opencv for iOS Study Notes (5)-mark Detection 2 Relevance search Void markerdetector: const extends svector contours, STD: vector We have obtained a series of suspicious tags in the above method. To further confirm whether they are the tags we want, we also need the following three steps: 1. Remove the Perspective Projection to get the rectangle on the plane/front. 2. Use the Otsu alg

This tutorial is actually a summary of the previous article, using FEATURES2D and Calib3d modules to discover objects in the scene ~ ~ 1, Create a new console project. Read the input images. Mat img1 = Imread (argv[1], cv_load_image_grayscale); Mat Img2 = Imread (argv[2], cv_load_image_grayscale); 2, Detect keypoints in both images. Detecting Keypointsfastfeaturedetector Detector ();vector 3, Compute descriptors for each of the keypoints.

#include"stdafx.h"#defineMax_corners 20intMain () {intCornernum =max_corners; VectorCorner; DoubleQualitylevel =0.05; DoubleMindistance =5; Doublescalar =0.5; Mat SRCIMG,SRCIMG1; Mat Grayimg,grayimg1,grayimg2; Mat disimg; inti; //videocapture Video ("e:\\c_vc_code\\text_photo\\feini.flv");Videocapture Video (0); if(!video.isopened ()) { return-1; } Video>>srcimg; Resize (srcimg,srcimg1,size (Srcimg.cols*scalar,srcimg.rows*scalar),1,1,3); Cvtcolor (Srcimg1,grayimg,cv_bgr2gray,1);

OPENCV Glass mirror defect detection, defect information marking and extraction Author: scutjy2015@163.com Link: http://blog.csdn.net/scutjy2015/article/details/74011789 Part 1 Partial effect chart Part 2 source program #include Part 3 other experimental pictures

Http://www.cnblogs.com/tiandsp/archive/2013/04/20/3032860.html Three kinds of common edge detection operators. #include "cv.h" #include "highgui.h" using namespace CV; int main (int argc, char* argv[]) { Mat src = imread ("misaka.jpg"); Mat DST; Input image //output image //input Image Color channel number //x direction order number //y Direction order Sobel (Src,dst,src.dept

); Cvreleaseimage (i); Cvreleaseimage (S); Cvreleaseimage (W); Cvreleaseimage (src_tmp1);}intMainintargcChar*argv[]) { /*iplimage *src = Cvloadimage ("c:\\c_c++ Code\\photo and Video\\text009.jpg", Cv_load_image_color); Cvnamedwindow ("src", cv_window_autosize); Cvshowimage ("src", SRC); Cvnamedwindow ("Flip", cv_window_autosize); Iplimage *DSC = cvcreateimage (cvgetsize (SRC), src->depth, 1); Flip Skindetect with x-axis (SRC, DSC); Cvflip (SRC, DSC, 1); Cvshowimage ("

Source code: http://download.csdn.net/detail/nuptboyzhb/3961668 New Content in version 1.0.x Video motion detection Ø create menu items, learning opencv --> opencvr entry --> video motion detection The menu items are set as follows: Create a Class Wizard ØEdit code Voidccvmfcview: onmytestsport () { // Todo: add your command handler codehere // Alt + F8 sort ou

thresholds is discussed in the extension), according to the high threshold is worth an edge image, such an image contains very few false edges, but because the threshold is high, the resulting image edge may not be closed, the problem is not resolved to use another low threshold value. Popular: Is in the edge detection, or to use the filter to reduce noise, first through the horizontal and vertical direction of a partial derivative, the amplitude and

3D object AABB collision detection algorithm, Cocos2d-x Collision Detection Welcome to Cocos2d-x chat group: 193411763 Reprinted please indicate the original source: http://blog.csdn.net/u012945598/article/details/39524343 Certificate ------------------------------------------------------------------------------------------------------------------------------