learning opencv

normalizes the pixel value of the image, and then uses the cvcvtcolor function in opencv to convert the image from the RGB space to the HSV space. 5. Set a random number Gsl_rng_env_setup (); // setup the enviorment of random number generator RNG = gsl_rng_alloc (gsl_rng_mt19937); // create a random number generator Gsl_rng_set (RNG, time (null); // initializes the random number generator. The author uses the GSL library to generate random numbers.

Author: gnuhpcSource: http://www.cnblogs.com/gnuhpc/ Opencv can use the following functions to display a cvarr data mat Cvnamedwindow ("winname", cv_window_autosize );Cvshowimage ("winname", mat );Cvwaitkey (0 ); However, when mat is of the iiplmage * type and its depth is ipl_depth_8u (8bit unsigned integer), the display effect is better. For other in-depth iplimage * or cvmat * data, you can use the cvconvert function for conversion and display.

In the last lecture on opencv Study Notes (), we compared the speed of reading and writing mat data among ordinary young people, young artists, and violent young people, I thought it was my own method, and I felt that it was not systematic enough. I sorted out my ideas this time, referred to the document, and summarized the methods that I could think of. I hope it would be helpful to everyone.1. Access a single pixel value The most common method is i

Document directory 1) load the cascade classifier 2) read Video Streams 3) use this classifier for each frame 4) display the target The target detection method supported by opencv is the classifier training based on the Haar feature of the sample to obtain the cascade boosted classification ). Note: In addition to haar features, the new C ++ interface can also use the HSV features. First, we will introduce the relevant structure. featureevalua

There is no button in the highgui of opencv, but we can make full use of the trackbar function to implement the button. I. Main Ideas Set a trackbar with only two values, that is, the position range of the trackbar is [0, 1]. When the position is 0, it corresponds to one State; when the position is 1, it corresponds to another State. To implement the button function. Ii. Use instances WriteProgramCreate a trackbar. When the position is 0

When we used the surf feature of opencv2.3.1 for feature point matching yesterday, we found that the drawmatches function is always faulty, and the exception prompt is vector overflow? I can't explain why others are using it well. When it comes to me, It overflows. Why ??!!! Today, I carefully studied the opencv manual and finally found the problem. When I used flannbasedmatcher to perform the match function matching, I did not pay attention to the s

following four values:Gcd_bgd (= 0), background;Gcd_fgd (= 1), foreground;Gcd_pr_bgd (= 2), possible background;Gcd_pr_fgd (= 3), possible prospects.If gcd_bgd or gcd_fgd is not manually marked, only gcd_pr_bgd or gcd_pr_fgd are displayed;Rect: used to limit the image range to be split. Only the image part in the rectangle window is processed;Bgdmodel-background model. If it is null, the function automatically creates a bgdmodel. bgdmodel must be a single-channel floating-point (cv_32fc1) image

// Adapted by the example of leanring opencv by mikewolf // 2008-11-26 # include "stdafx. H "# include Cvhistogram * Hist, * hist1; {int hist_size [] = {h_bins, s_bins, v_bins}; float h_ranges [] = {0,180 }; // hue is [0,180] float s_ranges [] = {0,255}; float v_ranges [] = {0,255}; float * ranges [] = {h_ranges, s_ranges, v_ranges }; hist = cvcreatehist (3, hist_size, cv_hist_array, ranges, 1); hist1 = cvcreatehist (3, hist_size, cv_hist_array, rang

It is said that in the later version of opencv, the condensation Algorithm for CV of particle filtering has been removed. The previously learned condensation algorithm cannot be developed in C ++ or only in C, (a previous article about particle filter used to achieve mouse tracking ). To use particle filter tracking, we can use http://web.engr.oregonstate.edu /~ The particle filter code provided by Hess/particle filter has many variants. Rob Hess shou

Opencv Smooth Functions Void cvsmooth ( Note: (1) You may not have a deep understanding of cvarr. You can think of it as a base class in C ++. Of course, it also includes iplimage. (2) types supported by smooth: Cv_blur sums param1, param2, and scales 1/(param1 * param2) to calculate the simple average value. Cv_blur_no_scale the sum of param1 and param2 of each pixel in a blur without scaling variation. In particular, the input image and the result

What do we do when we want to copy the data of one Mat object to another Mat object?We find that OPENCV provides the overloaded operator Mat::operator =, so is it easy to do the assignment of an object according to the following statement?Mat A; Mat B = A;The answer is NO!We can see from the reference manual:Mat::operator =Provides matrix assignment operators.C + +: mat mat::operator= (const mat m)Parametersm–assigned, Right-hand-side Matrix. Matrix a

It was a bit too gradual, a waste of time, and later code annotations as much as possible in the comments, concise and clear. Open Camera #include "cv.h"//OPENCV core function library #include "highgui.h"//gui function library//Main method (note the formal parameter list under vs) int main (int argc, char** argv) {/ /Create window (window name, Window property flag)//int Cvnamedwindow (const char* name, int flags=cv_window_autosize); Cvnam

* * output picture **Import the CV2 package in OpenCV, and then have functions like imread,imshow to read and display the picture. Cv2.waitkey (0) to keep the window, waiting for the keyboard input, if the keyboard does not enter, it will always wait.Cv2.destroyallwindows () deletes any window that we want to delete. Focus on Cv2.namedwindow ("image", Cv2. Window_normal), it allows the displayed picture to automatically resize the shape. Without th

Example: Detection of contours according to the slider parameters, re-detection when the sliding bar changes Effect Diagram: /** our Example 8-2 are drawn from the OpenCV package. Here we create a window with an image in it. A trackbar sets a simple threshold, and the contours in the thresholded im-age is drawn. The image is updated whenever the trackbar is adjusted. Example 8-2. Finding contours based on a trackbar ' s location;

I 've been learning from the previous article for a long time. I analyzed the source code of calcHist, but I didn't quite understand it in some places. I 've been busy with graduation and have not continued, however, I always felt that something was not completed. In the past two days, I sorted out the source code of the calcHist and pasted it out to complete a task. The source code of calcHist is divided into several situations based on the calculate

graduallyOpencvAs a loyal partner in the profession. AsOpencvProject initiator,Gary bradskiAndAdrain kaeblerThe 《Learning opencvA book onOpencvMany basic algorithm functions are described in detail, and the descriptions of function algorithms are also in place. In the course of reading this book, the reader not only has the feeling of "knowing its own nature", but also has the feeling of "knowing its own nature. This book introduces the various algor

); Cvnamedwindow ("threshold", 1); Cvshowimage ("threshold", threshold);Morphological Changes Iplconvkernel * kernal;iplimage * morph = cvcreateimage (cvgetsize (Threshold), threshold->depth, 1);//Custom 1x3 The nucleus of the X-directional swelling corrosion kernal = Cvcreatestructuringelementex (3, 1, 1, 0, cv_shape_rect); Cvdilate (threshold, Morph, kernal, 2); //x Expansion Unicom Digital Cverode (morph, Morph, kernal, 4); x corrosion Removal of fragments cvdilate (morph, Morph,

the value of Sigma X, Y, and 0 for following kernel (because it cannot be 0 as the denominator).Median Filter:Medianblur (SRC, DST, i);The parameter I represents the kernel value, because it is a square (two-dimensional) image, so it is good to use only one number, and it needs to be odd.Bilateral Filter:2 2);The following three parameters indicate:D, the range of diameters to be used for the transformation is that each pixel is calculated according to the surrounding pixels.Color, colour gamut

{ - if((argc-2)!=0) - return-1; -Mat Src=imread (argv[1]); + if(Src.empty ()) - return-2; +Gaussianblur (Src,src,size (3,3),0,0, Border_default); A atShowimg ("SRC", SRC); - - Mat Src_gray; - Cvtcolor (src,src_gray,cv_rgb2gray); - - Mat grad; in Mat grad_x,grad_y; - Mat abs_grad_x,abs_grad_y; to intDdepth=cv_16s; + intDelta=0; - intscale=1; the *ScHARR (Src_gray,grad_x,ddepth,1,0, Scale,delta,border_default); $ Convertscaleabs (grad_x,abs_grad_x);Panax No

to the largest coordinate in the MAX_IDX arrayThe function Cvgetminmaxhistvalue finds the largest and smallest straight squares and their positions. Any output variable is optional. In a few extrema with the same value, returns the one with the smallest subscript index (in alphabetical order).7,cvqueryhistvalue_1d (hist, idx0)function function: Access the histogram element, the same as the cvgetreal2d function.OK, now that you've covered all the required functions, here's a sample code that's v