learning opencv 3

Because in writing an image of the data structure, found oneself only know cvmat, unexpectedly still have mat data structure, really ignorant, see so many programs, seemingly did not see this structure. It's possible that those programs are examples of older versions, which were added after 2.0, so I have to follow them. The following is your own learning experience .... Introduction of Mat OpenCV was built

the CvinvokeAnd the image Create a WinForm project, add a button and a PictureBox control Add the following codeCapture Cam;private void Btopen_click (object sender, EventArgs e){Cam = new Capture ();Application.idle + = new EventHandler (processframe);}private void Processframe (object sender, EventArgs arg){IMAGEImageCvinvoke.cvcanny (Ecanny.ptr, Ecanny.ptr, 50, 150, 3);Cvcanny is a commonly used function in

successfully),Know that the oncameraframe should be modified to process each frame of the image.3. How to implement a simple OPENCV text location algorithm based on connected domain analysis and embed the algorithm into the application?Algorithm flow, the color of the frame image of the binary, after the two-valued connected domain analysis, analysis of each connected domain, the connected domain analysis,

color, such as a grayscale image, from 0 (black) to 255 (white) to represent the depth of the color. And usually a color image is composed of red, green and blue Three colors, commonly known as RGB images. More about images and colors can refer to Digital image processing books, this is how OPENCV to represent different images. There are many constants in Core->cvtype that define the type of the image, and the basic structure is:　　cv_ number of =8|16

;%O Pencv%\x86\vc12\bin, where vc12 corresponds to vs2013,vc11 corresponding to is VS2012,VC10 corresponding is vs2010, according to their own version to chooseCreate a new OpenCV project property sheet and create a new opencv300 in the OpenCV directory. Props, you can create a new TXT document, change the suffix name to. Props, here is my Property engineering table, 7th, 8 rows are 32-bit and 64-bit platf

1. PrincipleAfter learning about the meanshift algorithm, we extend the meanshift algorithm to the continuous image sequence (generally the video image sequence), thus forming the camshift algorithm. The camshift algorithm is called "continuously apapaptive mean-shift". Its basic idea is to perform the meanshift operation on all frames of a video image, the result of the previous frame (that is, the center and size of the search window) is used as the

Document directory 1.1 cvkan 1.2 cvCreateTrackbar 1.3 CvTrackbarCallback [OpenCV Getting Started Guide] Part 3 "Canny edge detection" The principle of image edge detection is to detect all the gray-scale points in the image, and these points are connected to form several lines, which can be called the edge of the image. A multi-level edge detection algorithm developed by John F. Kan in 1986. Here, the

triggered, OPENCV can call the function correctly.The event must be a value in the following table. The second and third parameters are set to the X, Y coordinate value of the mouse position at the time the event occurred. Note: These coordinates represent the pixel coordinates of the image in the window and are not related to the size of the window. The fourth parameter flags, each of which specifies a different state when the event occurs. For exam

　　Preface Histogram is a very important tool in computer vision. opencv provides many functions related to histogram processing. The most basic function is to calculate the histogram function calchist (). The histogram is also introduced in the previous blog: opencv (4) of basic learning notes: histogram usage learning

images, but I don't know how to call this library. So I figured out a way to read and display images with the OPENCV function, and the processing of the images was done by the Cuda kernel function, because the OPENCV and Cuda programming on the Windows platform was done on Visual Studio, so this method is feasible. second, the experimental process 1. Experimental platform: Visual Studio 2010,cuda 6.5,

Create an application that can use OpenCV Javacameraview to understand the development process for OPENCV Java API-based applications. With the Android base, there are several places in the program that need to be modified 1.activity_main.xml 2.androidmanifest.xml 3.mainactivity.javaFirst, create the projectInstall create an Android program to create a blank acti

functional definition4 powerful image and matrix computing power5 convenient and flexible user interface6 at the same time support Ms-windows, Linux platformAs a basic open source project for computer vision, image processing and pattern recognition, OPENCV can be used directly in many fields as the ideal tool for the second development. OpenCV Function Introduction: The