learning opencv 3

Union: when multiple data requires shared memory or multiple data is only one at a time, you can use the Union1. A consortium is a structure;2. All of his members have an offset of 0 relative to the base address;3. This structure space is large enough to accommodate the most "wide" members;But the size is not only determined by the widest members, but also by considering the individual alignment of each member!4. Its alignment should fit all of its me

1. Key functions1. Read in picture imread (picture or position, display format):imread_colorDisplay format: imread_unchanged=-1//8bit,coloror not NBSP;NBSP; imread_grayscale=0//8bit , gray NBSP;NBSP; imread_color =1// color NBSP;NBSP; imread_anydepth=2// anydepth, NBSP; Imread_anycolor = 4//Any color 2. Display Picture imshow (picture name, mat type picture)There are a lot of examples with Namedwindow in it, but I find that there is no problem. Maybe I haven't found it yet

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

Highgui is a graphical user interface module. Including:1, input and output;2, video capture;3, graphics and video decoding code;4, graphics interface and interfaces.Because OPENCV.HPP contains the core, Objdetect, Ingproc, photo, video, featurse2d, calib3d, ML, Highgui, contrib and other modules. General development Lazy#include Namespaces will let you write code simple: using namespace CV, then you can Imread (... Otherwise you will have to c::imrea

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 out the code Cvcapture * capture; Capture = cvc

Canny edge detection Iplimage * cvloadimage (const char * filename, int flags = cv_load_image_color ); The first parameter is the file name of the image to be loaded. The second parameter specifies the color and depth of the image to be read,You can convert the input image into a channel (cv_load_image_color), a single channel (cv_load_image_grayscale), or a constant (cv_load_image_anycolor ). Void cvkan (const cvarr * image, cvarr * edges, double threshold1, double threshold2, int aperture_si

terminated. Be sure to note that iplimage * DST = cvcreateimage (cvgetsize (SRC), Src-> depth, Src-> nchannels ); cvmemstorage * stoage = cvcreatememstorage (0); cvseq * comp = NULL; int level = 4; // perform n-layer sampling double threshold1 = 150; double threshold2 = 30; // cvpyrsegmentation (SRC, DST, stoage, Comp, level, threshold1, threshold2); cvnamedwindow ("src"); cvnamedwindow ("DST"); cvshowimage ("src ", SRC); cvshowimage ("DST", DST); cvwaitkey (0); cvdestroyallwindows (); Return

From:http://www.xuebuyuan.com/582331.htmlSimple method of classifying by feature points:First, train1. Extract the feature of +/-sample, sift the number of features extracted from each image (assuming that each feature has 128 dimensions)2. Use the clustering method (e.g K-means) to set the indefinite number of feature clusters to a fixed number (for example, 10) words that is bow (bag of Word)(This article mainly completes the above work!) )3.normali

Adding boundaries to the source imageCv2.copymakeborder (Src,top, bottom, left, right, Bordertype,value)SRC: Source imageTop,bottem,left,right: Indicates the length of the boundary in four directions, respectivelyBordertype: Type of boundaryThere are several types of the following:Border_reflicate # Fill directly with the color of the border, AAAAAA | abcdefg | ggggborder_reflect # reflection, ABCDEFG | Gfedcbamn | NMA BCDBORDER_REFLECT_101 # reflected, similar to above, but when reflected, wi

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

From: http://blog.csdn.net/sangni007/article/details/7544401 I have been scratching my head for a problem over the past few days, so I am not in a mood for a few days. Today I want to understand something and remember it. I forgot it later. The problem that has plagued me over the past few days is the hog. detectmultiscale () function. I see some hog articles on the Internet from a complete image to detect the target object, a very Nb box, the box is so accurate, such as

It is often used to select rectangular boxes with the mouse in the preparation of opencv. It seems like a very simple logic in programming. If we don't know much about the rect in opencv, then the implementation effect is not very satisfactory. For example, although we use the mouse to choose from the top left to the bottom right, but occasionally, you can choose from the lower left to the upper right .....

This small experiment completes the following five functions: 1: Use TrackBar to implement button function (OpenCV without the button, without QT I can only use Trackerbar to achieve visual operation); 2: Calculate and draw the histogram; 3:histogram equalization; 4: Achieve lomography effect; 5: Achieve cartoonize effect. 3 in order to equalize a color image, we

This case will introduce histogram calculation and histogram equalization, histogram calculation is very useful, in many cases can be used, not only in the image of the gray value, but also in the image of other features; Image equalization is often used in image preprocessing, it can enhance contrast, Makes the pixel intensity distribution range more widely. 1. Principle Histogram calculation: Http://www.opencv.org.cn/opencvdoc/2.3.2/html/doc/tutorials/imgproc/histograms/histogram_calculation/h

Today we mainly look at the events in OpenCV and the callback function, so it may not be accurate, mainly the following two functions (OPENCV, there are many of these functions, can be in the Http://docs.opencv.org/trunk/modules/highgui/doc /user_interface.html found, did not list each one), and then made a simple drawing programThe functions are as follows:See first function, Cv2.setmousecallback ()ImportC

comments. The reason why createtrackbar () can respond is that the main function uses the waitkey () function, which can not only wait infinitely, but also interact with users. For details, see the code comment. Memory Errors may occur when the program runs frequently. For example, if you drag a slide bar, the memory will report errors. I don't know why. The sample provided by opencv is generally excellent in code. However,

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

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");

#include #includeintMainintargcChar**argv) {Cvnamedwindow ("Example2", cv_window_autosize); Cvcapture* Capture = Cvcreatefilecapture ("/users/apple/pictures/opencv/video/andyou.mp4");//This is the equivalent of creating an objectiplimage*frame; while(1) {Frame= Cvqueryframe (Capture);//frame points to a piece of memory that has already been allocated, so it does not use release if(!frame) Break; Cvshowimage ("Example2", frame); Charc = Cvwaitk

My study notes are mainly recorded in the study opencv-python-tutorials the book of the NotesThis evening learn how OpenCV for Python plots, mainly using these functions (these functions can be in: http://docs.opencv.org/modules/core/doc/drawing_functions.html Found):Start by copying the code from the book, the code is as follows:Import NumPy as NP Import = Np.zeros (512,512,3= Cv2.line (IMG, (), (510,510)