learning opencv

coding of the scale change. Therefore, the extension method of using a variable is described in the literature [AHP04]. The idea is to encode the neighboring pixels using a circle with a variable radius, so that you can capture the following nearest neighbor: For a given point, his nearest neighbor can be computed as follows: where r is the radius of the circle, and P is the number of sample points. This operation is an extension of the original LBP operator, so it is sometimes referred to a

is removed. 3. When using mat: A, OpenCV memory is usually automatically assigned, special circumstances need special designation. B. Memory release is not a concern when using OpenCV's C + + interface. c, you need to replicate the matrix data, you can use Image.clone () and Image1.copyto (Image2). Second, Mat storage method Different data types can be used for each element in the mat matrix, with the smallest data type char, which occupies one byt

This section corresponds to Opencv.2.computer.vision.application.programming.cookbook -----3rd Chapter Processingimages with Classes the using a Controller to communicate with processing modules part. This section details the feeds in the book and gives back to the people who want to be inspired. Begin First, open the VS2010, establish the project Second, the next step, the original "use of Unicode Library" hook removed. After completion, the ed

which the filter times 4 is interpolated. So the output image is 4 times times the size of the input image. (Hunnish: The principle is not clear, yet to be explored) The implementation example is entitled: #include "StdAfx.h" #include "highgui.h" #include "cv.h" //superdont //blog.csdn.net/superdont int main (int argc,char * * argv) { Iplimage * src = cvloadimage ("guagua.bmp"); Iplimage * result1 = Cvcreateimage ( cvsize (SRC->WIDTH/2, SRC->HEIGHT/2), src->depth, src

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.depth (), n); Imwrite ("Sobel.jpg", DST);

in C ++. It indicates that the memory of this section is referenced. It is very obvious that this is the c ++ opencv size_t totalsize = alignsize (step. P [0] * size. P [0], (INT) sizeof (* refcount); (total space size of matrix data, 4-byte alignment) Data = datastart = (uchar *) fastmalloc (totalsize + (INT) sizeof (* refcount); refcount = (int *) (Data + totalsize); * refcount = 1 ;} else // if the current matrix has a memory configurator, use the

We all say that GPU Cuda is very Nb-hard, so the next step is to run the program through GPU acceleration. This week, we have been configuring the Cuda environment of opencv. Today we finally ended up failing because the graphics card of the lab machine does not support Cuda... Sorry, a week !!! Cuda-supported GPU: http://developer.nvidia.com/cuda-gpus Although the failure eventually failed, there are still some gains. Now I will sum up it to rem

I have also practiced using the kmean algorithm of opencv before, but the version is low and it is also developed based on C. In the past two days, due to the need to create a thesis, I have re-translated it and studied C ++, and found that some improvements have been made.Kmeans C ++: Double Kmeans (Inputarray Data, Int K, Inputoutputarray Bestlabels, Termcriteria Criteria, Int Attempts, Int Flags, Outputarray Centers=

Cvsetmousecallback: sets the callback function for mouse events. Void cvsetmousecallback (const char * window_name, cvmousecallback on_mouse, void * Param = NULL ); Window_name: Window name.On_mouse: Specifies the function pointer called every time a mouse event occurs in the window. The prototype of this function should beVoid Foo (INT event, int X, int y, int flags, void * PARAM );Event is one of the variables cv_event _ *, X and Y are the coordinates of the mouse pointer in the image coordina

in the hogdescriptor class. Hog is used to perform gradient statistics on the specified size area of an image. Can be called directly. Opencv makes it too complicated. When it is used, it will divide windows, blocks, and cells... A lot of things. Here are three good articles. Http://blog.csdn.net/raocong2010/archive/2011/03/11/6239431.aspx This article explains window, block, and cell. Http://gz-ricky.blogbus.com/logs/85326280.html This article analy

========================================================== ====== Copyright: bear does not go to the lab csdn blog ========================================================== ====== Working principle: Game render This effect has been seen in the switching scenario of gash 4, and the motion blur of speed 12 also has this feeling. PS is called radial fuzzy-> scaling, and a radial fuzzy-> rotation. Scaling principle: Determine a central point (such as 0.5, 0.5), connect to the current pixel, take t

) = M. col (7) won't work. Use the following method: Mat M1 = M. col (1); M. col (7 ). copyTo (M1); // create a 320x240 image Mat img (Size (320,240), CV_8UC3); // select a ROIMat roi (img, Rect (10, 10,100,100); // fill the ROI color in green and the original img image will change. Roi = Scalar (0,255, 0 ); Because of the help of datastart and dataend, you can use the locateROI () function to calculate the relative position of the sub-block in the main array; Mat A = Mat: eye (10, 10, CV_32S);

The four classic filtering algorithms can be found in the opencv documentation. Familiarize yourself with the call specifications. # Include "CV. H "# include" highgui. H "# include Processing result: Source image: Gaussian filter: Median Filter: Mean Filtering: Bilateral filtering. Do you think it works? How can I adjust parameters:

Author: gnuhpcSource: http://www.cnblogs.com/gnuhpc/ # Include "CV. H "# include" cxcore. H "# include" highgui. H "# include int main (INT argc, char ** argv) {cvpoint center; // defines a two-dimensional coordinate point double scale =-3; int I, J; iplimage * image = argc = 2? Cvloadimage (argv [1], cv_load_image_color): 0; // open an image if (! Image) Return-1; center = cvpoint (image-> width/2, image-> height/2); // construct the point of the Two-dimensional coordinate for (I = 0; iheight;

Basic Data Structure of opencv Cvpoint: the point in the image. Cvpoint2d32f: point in two-dimensional space Cvpoint3d32f: Point in 3D space These are struct and are not classes in the C ++ language. Therefore, their constructor is a simple inline function. 1 typedef struct CvPoint 2 { 3 int x; 4 int y; 5 } 6 CvPoint; 7 8 9 CV_INLINE CvPoint cvPoint( int x, int y )10 {11 CvPoint p;12 13 p.x = x;14 p.y = y;15 16 return p;17

#include Effect: Note: XML or YAML file storage class in OpenCV for class Filestorage file node classes

[i*2]); Pt.y = Cvround (traindata1.data.fl[i*2+1]); Cvcircle (IMG, PT, 2, Cv_rgb (255,0,0), cv_filled); Pt.x = Cvround (traindata2.data.fl[i*2]); Pt.y = Cvround (traindata2.data.fl[i*2+1]); Cvcircle (IMG, PT, 2, Cv_rgb (0,255,0), cv_filled); } Cvnamedwindow ("classifier result", 1); Cvshowimage ("classifier result", IMG); Cvwaitkey (0); Cvreleasemat (trainclasses); Cvreleasemat (traindata); return 0; } Detailed Description: http://www.cnblogs.com/xiangshancuizhu/arc

author: gnuhpc Source: http://www.cnblogs.com/gnuhpc/ # Include "highgui. H "# include" CV. H "# include In opencv, the defined macros are generally used to take elements: The Macro of the element with the mat structure is cv_mat_elem, which is the most convenient to obtain the 2D matrix. The macro of the iplimage element is cv_image_elem, for example, the gray value of an image (x, y) point: Uchar * PTR = cv_iamge_elem (image, uchar, I, j * 3

When using OpenCV in VC ++, A win32 console application project is generally created. When such a program is run, a console window similar to a DOS window is created by default, for interaction between programs and users. However, sometimes we only want to run a piece of functional code in the program. Instead of displaying this console window, the program automatically exits after the code is executed. You can hide the console window of the win32 c

3. Opencv 1.0 has a problem with storing video files, and 2.0 has solved this problem.