opencv scalar

#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*

An image of size m*n can be represented by a m*n matrix, and the value of the matrix element is represented The brightness of the pixel in this position, in general, the larger the pixel, the brighter the point. In general, the grayscale image is represented by a 2-D matrix, and the color (multi-channel) image uses a 3-D matrix ( M*N*3) said. For the image display, most devices are now using unsigned 8-bit integers (Type cv_8u) represents the pixel brightness. The order in wh

Brief introductionThis tutorial is after I have trampled the pit many times, and refer to the online many OpenCV on Android configuration tutorial summed up, hoping to help learn mobile image processing friends less detours.This is my first time in the book published articles, if there are shortcomings, I hope you dalao can correct me, I will promptly revise. Configuration on if you encounter problems, you can also leave a comment in the comments, I w

, but the changes of the original mat will not affect the new mat. To solve this problem, opencv provides the clone () and copyto () functions. Mat F = A. Clone (); Mat g; A. copyto (g ); The values of G and F above are the same as those of a, but the changes of a won't affect them.Storage Method: It is how to store pixel values. The simplest way is to store them with a grayscale matrix, provided that when our images are black and white, there are als

-th row, multiplied by 3 to the 3rd rowM.row(3) = M.row(3) + M.row(5)*3;// now copy the 7-th column to the 1-st column// M.col(1) = M.col(7); // this will not workMat M1 = M.col(1);M.col(7).copyTo(M1);// create a new 320x240 imageMat img(Size(320,240),CV_8UC3);// select a ROIMat roi(img, Rect(10,10,100,100));// fill the ROI with (0,255,0) (which is green in RGB space);// the original 320x240 image will be modifiedroi = Scalar(0,255,0); Due to the a

::zeros (Src.size (), CV_32FC1); ///Detector Parameters intBlockSize =2; intAperturesize =3; DoubleK =0.04; ///Detecting CornersCornerharris (Src_gray, DST, BlockSize, Aperturesize, K, Border_default); ///normalizingNormalize (DST, Dst_norm,0,255, Norm_minmax, CV_32FC1, Mat ()); Convertscaleabs (Dst_norm, dst_norm_scaled); ///Drawing a circle around corners for(intj =0; J ) { for(inti =0; i ) { if( (int) dst_norm.atfloat> (j,i) >Thresh) {Circle (dst_norm_s

Common Data containers related to image operations in opencv include mat, cvmat, and iplimage. These three types can represent and display images. However, mat types focus on computing, the mathematics is high, and the calculation of Mat type is also optimized by opencv. The cvmat and iplimage types focus more on "Images". opencv optimizes image operations (such

I. Concepts of image histograms The image histogram is a statistical table that reflects the Pixel Distribution of an image. In fact, the abscissa represents the type of the image pixel, which can be gray or color. The ordinate represents the total number of pixels in the image or the percentage of all pixels in each color value. The image is composed of pixels, because the histogram that reflects the pixel distribution can often be a very important feature of the image. In practical engineering

, contours, hierarchy, Cv::retr_ccomp, cv::chain_approx_simple); //iterate through all levels, and draw contours in random color intindex =0; for(; index>=0; index = hierarchy[index][0]) {cv::scalar color (rand ()255, Rand () 255, Rand () 255); //For OpenCV 2//CV::d rawcontours (dstimage, contours, index, color, cv_filled, 8, hierarchy); //For OpenCV 3CV::d r

//Dlldemo_hDlldemo.cpp#include"dlldemo.h"Dlldemo::D Lldemo () {}intDlldemo::addtwo (intAintb) { returnA +b;} Mat Dlldemo::togray (Mat img) {Cv::mat greymat; Cv::cvtcolor (IMG, Greymat, Cv_bgr2gray); Draw_text (Greymat,"#by DLL Function",5, -,0.8); returnGreymat;}voidDlldemo::d raw_text (Mat canvas,Const Char*STR,intXintYfloatScale ) { intW =2; for(intDY =-W; Dy dy) { for(intDX =-W; DX dx) {CV::p uttext (canvas, str, CV::P oint (x+dx,y+dy), Cv::font_hershey_simplex, scale, c

Arithmetic operation and logical operation of image in OpenCVIn the image processing, there are two most important basic operations are image point operation and block operation, the simple point is that the image point operation is the image of each pixel point of the relevant logic and geometric operations, block operations most common is based on various operations of the convolution operator, the realization of a variety of different functions. I'm going to go with you today. The functions a

Document directory How to correctly install opencv? How to quickly get to know opencv? Where can I report the bug of opencv? How to report intel? Ingegrated performance primitives bug? How to join the opencv forum? How can I modify the user group settings so that I no longer receive a large number of emails? O

Because the research direction during the study is the image processing, so the light ink this period of time closed-door study of a lot of OPENCV and image processing related knowledge and content. See oneself accumulated to a certain extent, so decided to start to open this OPENCV series column, summed up their learning, also share knowledge to everyone.Well, this article as a

I. Development Environment Operating System: fedora14 Opencv version: 2.0 Qt version: 4.7 Arm: mini6410 Cross-compilation tool: arm-linux-gcc-4.5.1 Ii. installation and configuration The installation of the Linux system, the installation of cross QT-creator, and the installation of cross-compilation tools are basically no problem on the Internet, and can be used after testing. Here QT-creator installation encountered a small problem, according to the

Opencv excellent favorites Skyseraph Jun 16th 2011 hqu Email: zgzhaobo@gmail.com QQ: 452728574 Latest modified Date: Jun 16th 2011 hqu A post before: http://www.cnblogs.com/skyseraph/archive/2010/12/29/1920996.html Combined with the previous and current collection, reorganize the following for backup query: Some concentration: Opencv China Forum highlights and Data Summary Image

OPENCV to display the feature point position in a circle CV::d rawkeypoints (Image, pts, image, Cv::scalar (255,255,255), CV::D rawmatchesflags::D raw_over_outimg);//Calculation timeDuration =static_castDouble> (Cv::gettickcount ())-duration; Duration/= cv::gettickfrequency ();//Display resultsCv::imshow ("Fast feature", image);STD::cout"Time:""Seconds"STD:: Endl; Cv::waitkey (0);}Summarize:Although there

) { Maxarea = area; Maxcontour = Contours[i]; } } Convert Outline to Rectangular box Cv::rect maxrect = Cv::boundingrect (Maxcontour); Show connected Domains Cv::mat Result1, RESULT2; Bwimg.copyto (RESULT1); Bwimg.copyto (RESULT2); For (size_t i = 0; i { Cv::rect r = Cv::boundingrect (Contours[i]); Cv::rectangle (RESULT1, R, Cv::scalar (255)); } Cv::imshow ("All Regions", RESULT1); Cv::waitkey ();

The effect of affine transformation is to make the image rotate and stretch.The affine transformation is the position of the pixel of the source image to be transformed to the specified target image by an intermediate matrix, similar to the remapping above.So affine transformations are also an application of matrices.So affine transformation is generally divided into two steps: first, to find the intermediate matrix of Transformation, and second, to transform.To find the intermediate matrix of t

///Show The resultTen for(size_t i =0; I ) One { A floatr = s_lines[i][0], T = s_lines[i][1]; - Doublecos_t = cos (t), sin_t =sin (t); - Doublex0 = r*cos_t, y0 = r*sin_t; the DoubleAlpha = +; - -Point Pt1 (Cvround (x0 + alpha* (-sin_t)), Cvround (y0 + alpha*cos_t)); -Point Pt2 (Cvround (x0-alpha* (-sin_t)), Cvround (y0-alpha*cos_t)); +Line (Standard_hough, pt1, Pt2, Scalar (255,0,0),3, CV_AA); - } + A imshow

OpenCV Learning (calculate the histogram of images)OpenCV calculates the histogram of the image Calculating the histogram of an image is a very common operation in the field of image processing. OpenCV provides the calcHist function to calculate the image histogram. However, this function is quite difficult to tell the truth. After studying it for a long time, I