opencv color detection

//sort function to sort data in ascending order -Sort (Matches.begin (), Matches.end ());//Filter matching points, according to match inside the distance from the characteristics of the order from small to large thevectorgood_matches; + intPtspairs = Std::min ( -, (int) (Matches.size () *0.15)); Acout Endl; the for(inti =0; i ) + { -Good_matches.push_back (Matches[i]);//50 of the minimum distance to press into the new Dmatch $ } $Ma

Navneet Dalal's OLT workflow description ByOpencviv» 2010-01-23 4: 23Navneet Dalal provides INRIA on the following websites Object Detection and localization Toolkit Http://pascal.inrialpes.fr/soft/olt/Wilson suryajaya leoputra provides its Windows VersionHttp://www.computing.edu.au /~ 12482661/hog.htmlCopy all the DLL's (boost_1.34.1 *. dll, blitz_0.9.dll, opencv *. dll) into " Navneet Dalal provides exec

Document directory 1.1 cvkan 1.2 cvCreateTrackbar 1.3 CvTrackbarCallback [OpenCV Getting Started Guide] Part 3 "Canny edge detection" The principle of image edge detection is to detect all the gray-scale points in the image, and these points are connected to form several lines, which can be called the edge of the image. A multi-level edge

OPENCV provides two programs that can train their own cascading classifiers opencv_haartraining and Opencv_traincascade. Opencv_traincascade is a new program that is written in C + + using the OpenCV 2.x API. The main difference is that Opencv_traincascade supports both Haar and LBP (local Binary Patterns), and it is easy to add other features. Compared with the Haar feature, LBP features are integer featur

The realization of vehicle detection and tracking based on OpenCV Http://www.cnblogs.com/yanneu/p/6251892.html Recently, the teacher assigned a job, is to do a video-based vehicle detection and tracking, with about two weeks of time to do a simple, the effect is not ideal, but can not suppress some of their own knowledge to write down, here to put some blog on t

Image algorithm Test IteratoralgorithmfeaturesOriginal articles, reproduced please specify the source: http://blog.csdn.net/crzy_sparrow/article/details/7391511Article directory:First, Harris Angle point detection basic theorySecond, OPENCV code implementationThird, improved Harris corner point detectionFour, fast corner point detectionV. ReferencesVi. Appendices (information and source code)First, Harris C

In the. \ opencv \ doc \ vidsurv folder, there are three doc FILES: blob_tracking_modules, blob_tracking_tests, and testseq. Among them, blob_tracking_modules must be read in detail. "FG/BG Detection"Module into msforeground/background segmentation for each pixel. "Blob entering Detection"Module uses theresult (fg/BG mask) of" fg/BG

In the previous article, "OpenCV feature2d learning--surf and SIFT operators to achieve feature point detection", the use of SIFT and surf operators for feature point detection, here is trying to use fast operator for feature point detection.Fast's full name is:Features from Accelerated Segment test, the main feature values are fast, much faster than other known

resources on the Internet to help you understand this great edge detection algorithm. Threshold selection, to try to choose the low threshold!!! Because if the threshold selection is too high, it causes the outer quadrilateral of the invoice to be unclosed, which prevents the contour line from being found correctly. Although the low threshold value produces a lot of noise, the noise will be ignored in subsequent steps because contour

"OpenCV Getting Started" chapter III Canny edge detection The image edge detection principle is to detect the image of all the gray value changes in the larger point, and these points are connected to form a number of lines, these lines can be called the edge of the image. The canny edge detection operator is a multi-

Recently, some OPENCV-based target detection algorithms have been researched, and today is the first day.First download a simple online video of the movement of the two-value display of the code to learn, the following is my understanding, beginners will make a number of mistakes hope that everyone to correct.#include #include "cxcore.h"#include intMainintargc,unsignedChar*argv[]) {　　cvcapture* capture = Cv

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 Di

I haven't written a blog for a long time, and my student's career ends. I will not summarize it. Today, I will record the Adaboost training and detection process in opencv, so that it is convenient for others ~~~ Ah, haha ~~~~ I. Basic Knowledge preparation First, opencv currently only supports training and detection

the //Open operation (expansion corrosion operator) +Mat out; -Mat element = Getstructuringelement (Morph_rect, Size (3,3)); $Erode (Gray_diff, out, Element); $Dilate ( out, out, Element); - - //Find Outlines theMat DST = Mat::zeros ( out. Size (), cv_8uc3); -Vectorcontours;WuyiVectorhierarchy; theFindcontours ( out, contours, hierarchy, Cv_retr_ccomp, cv_chain_approx_simple); - intindex =0, Largestcomp; Wu DoubleMaxarea =0; - for(; index >=0; index = hierarchy[index][0])

Hough Line transformation can only be the edge binary image.4. The specific principles of the Hough Line detection refer to:52944708Http://www.opencv.org.cn/opencvdoc/2.3.2/html/doc/tutorials/imgproc/imgtrans/hough_lines/hough_lines.htmlhttp://lib.csdn.net/article/opencv/24201The code is as follows:#Line Detection#using Hough linear transformation to do straight

Recently began to learn OPENCV, want to detect the ring on the picture, found that Hough transform can do such an effect, so try to use the Opencv3 Hough transform to do the next ring detection. OpenCV in the Hough transform function: The first parameter, the Inputarray type of image, is the 8-bit grayscale single-channel image, which is the source image.The se

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

. Original image2. HSV Space5. RGB Turn LabThe code is as follows:#encoding:utf-8import numpy as npimport cv2image = cv2.imread("H:\\img\\lena.jpg")cv2.imshow("Original",image)cv2.waitKey(0)#lab空间lab = cv2.cvtColor(image, cv2.COLOR_BGR2LAB)cv2.imshow("L*a*b*", lab)cv2.waitKey(0)The results are as follows1. Original image2. Lab Space Copyright NOTICE: This article for Bo Master original article, without Bo Master permission not reproduced. Opencv-pyth

Modify the adaptiveskindetector. cpp of opencv and remove the complicated command line parameter input. You only need a Network Camera to run it. In terms of principles, I roughly looked at the usage of the color information in the HSV space. The effect is good, but it seems that the detection effect is poor for white walls, especially milky white walls and wall

:\\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