learning opencv

. cv_retr_list do not use hierarchies to get all contours. cv_retr_ccomp uses two hierarchies to get all contours. method -Contour estimate. cv_chain_approx_none stores absolutely all The contour points. That's, any 2 subsequent points (x1,y1) and (x2,y2) of the contour would be either horizontal, V Ertical or diagonal neighbors, that's, Max (ABS (X1-X2), ABS (Y2-Y1)) ==1 . cv_chain_approx_simple compresses horizontal, Vertical,

example: # Include "stdafx. H "# include" CV. H "# include" cxcore. H "# include" highgui. H "int main (INT argc, char ** argv) {// declare iplimage pointer iplimage * IMG = NULL; iplimage * cannyimg = NULL; char * filename; filename = "lena.png"; IMG = cvloadimage (filename, 1); // load the image and forcibly convert it to grayif (IMG = cvloadimage (filename, 0 ))! = 0) {// apply for the cannyimg = cvcreateimage (cvgetsize (IMG), ipl_depth_8u, 1) for the cell-edge image of the state-of-the-ar

image is stored at a resolution higher than that in other areas, allowing you to selectively extract details. Iv. Basic Structure of opencv For the data structure in opencv, here we will discuss three cvarr, cvmat, and iplimage 4.1 cvarr: an abstract base class. cvarr * is only a parameter used as a function. It indicates that the function can receive more than one array type, such as iplimage *, cvmat *,

VERSION:OPENCV 2.4.9ide:vs2010Os:windows-----------------------------------------------------------------------------------GoalIn this tutorial you'll learn how to:load an image (using imread)Create a named OpenCV window (using namedwindow)display an image in an OpenCV window (using imshow)Source Code1#include 2#include 3#include 4 5 using namespaceCV;6 using namespacestd;7 8 intMainintargcChar**argv)9 {Ten

1,Differences between dynamic and static libraries in opencv Lib is a dynamic library, and staticlib is a static library. This is a description of the dynamic and static libraries in opencv tutorials. A dynamic library is a library file that is loaded at runtime. The static library file will build-in inside your EXE file during your build. The advantage is that you can avoid accidental deletion, but the

Hof transform is a method for finding straight lines, circles, and other simple shapes in an image. Opencv supports two different Hof transformations: Standard Hof Transformation (SHT) and cumulative probability Hof Transformation (ppht ). In opencv, you can use the same function to use two algorithms. The related functions are as follows: Cvseq * cvhonghlines2 (cvarr * image, void * line_storage, int mehto

From: http://www.cnblogs.com/yangyangcv/archive/2012/03/23/2413335.html One-point OpenMP experience Recently I am reading multi-core programming. To put it simply, because the computer CPU usually has two cores, the 4-core and 8-core CPUs have gradually entered the ordinary home, the traditional single-Thread Programming Method is difficult to use the powerful functions of multi-core CPU, so multi-core programming came into being. According to my understanding, multi-core programming can be cons

OpenCV of Basic Learning Notes (15): Discrete Fourier transform This paper mainly introduces how to use OPENCV to carry on the Fourier transform of the image, its core function is the DFT (OPENCV). The technique of DFT is to map the spatial domain to the frequency domain, which plays an important role in image process

If the code passes through vs2008, add opencv_core220d.lib opencv_highgui220d.lib opencv_imgproc220d.lib to the additional dependency. You can also add the following content in the Code: # Pragma comment (Lib, "opencv_core220d.lib ") # Pragma comment (Lib, "opencv_highgui220d.lib ") # Pragma comment (Lib, "opencv_imgproc220d.lib ") #pragma comment(lib,"opencv_core220d.lib") #pragma comment(lib,"opencv_highgui220d.lib") #pragma comment(lib,"opencv_imgproc220d.lib") For details, see this

When learning machine learning, we basically use MATLAB and python to write algorithms and perform tests; Recently, thanks to the use of opencv to write homework, we have taken a look at the Machine Learning Library (MLL) of opencv ). Let's take a look at the main components

OPENCV Learning---moving target (foreground) detection 1. Frame Difference method Principle: The video sequence uses pixel-based time difference between two frames or three frames, and the motion region of the image is extracted by the closed-value. Advantages: The algorithm is simple, the computational amount is small, the training background is not necessary, and the light is n

Contents 1. Initialization matrix:. 1 2. Conversion from iplimage to cvmat. 1 3. Conversion of cvarr (iplimage or cvmat) to cvmat 1 4. Direct image operations 2 5. Direct cvmat operations. 3 6. indirect access to cvmat 4 7. Modify the matrix shape-cvreshape operation. 5 8. Calculate the color distance. 7 Usage and examples of cvmat in opencv Learning Contents 1. Initialization matrix:. 1 2. Conversion

is a detailed description of the line fitting function in the OPENCV Official document:The Fitline () function is used to fit a point set in a two-dimensional or three-dimensional space in a straight line. A total of six parameters:Param 1: The set of points entered, either Mat or VECTORFor example:vectorParam 2: Fit the result, i.e. a straight line. In a two-dimensional space, a line can be defined asvec4f Line;In a two-dimensional plane, (line[0],li

Python learning-extract palm and some palm prints using opencv-python, The last time we successfully trained the palm reader http://www.cnblogs.com/take-fetter/p/8438747.html, we can get the recognition result. Next, we need to use opencv to obtain the palm of your hand and remove the background. here we need to use mask and region of interest, there are many we

20091027-Update: For how to install OpenCV2.0 in VS2008, see 《Install OpenCV2.0 in VC 2008 Express. 1. OpenCV: http://sourceforge.net/projects/opencvlibrary/ 2. Useful Websites: (1) Visit OpenCV Wikipedia-pages at http://opencv.willowgarage.com/wiki/ and look for the information there (and/or add it when you have found a solution)(2) Search through OpenCV archiv

Gray_diff_erode storageIn fact, this is still not very understanding why these two to appear in pairs, I will be one of the comments can also showEspecially after the expansion, the image of the merging of similar background points will be more obvious.///1 is the number of expansion or corrosion, the more the number is more obvious cvdilate (Gray_diff,gray_diff_dilate, NULL,1);//swellingCverode (Gray_diff_dilate,gray_diff_erode, NULL,1);//CorrosionCvnamedwindow ("avi"); Cvnamedwindow ("222");

( -); - if((Char) c== -) $ Break; $ //bordertype=border_constant; -Bordertype=border_replicate; -Values=scalar (Rng.uniform (0,255), Rng.uniform (0,255), Rng.uniform (0,255)); the Copymakeborder (src,dst,top,bottom,left,right,bordertype,values); - WuyiNamedwindow ("Dst", cv_window_autosize); theImshow ("Dst", DST); - } Wu - Waitkey (); About return 0; $}The same CMakeLists.txt1 2.8 )2Project (makeBorder.cpp)3find_package (

{ - Point org;Wuyiorg.x =rng.uniform (x1, x2); theORG.Y =rng.uniform (x1, x2); - WuPuttext (IMG,"Testing Text", org, rng.uniform (0,8), Rng.uniform (0, -)*0.05+0.1, Randomcolor (RNG), Rng.uniform (1,Ten), linetype); - About Show (Win_name, IMG); $ } - } - - voidDisplay_big_end (Mat img,Char*Win_name, rng rng) A { + intW = -; theSize textSize = GetTextSize ("OpenCV Forever", Cv_font_hershey_complex,3,5,0); -Point org ((w-textsize.width)