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
OpenCV Learning Record: filter: comic picture
When I was in elementary school, I read the small comic book of the Dragon Ball many times, and I borrowed the book from the bookstore next to the school. At that time, I thought I was a Chinese author. I was wondering why some people were named such strange names. My tears have fallen :(.
The main algorithm idea of the loop painting filter:
1. Use the following
In this chapter, we will cover:
Detecting Harris corners
Detecting fast features
Detecting the scale-invariant surf features
Describing surf features
Detecting Harris corners
The basic opencv function for detecting Harris corners is called CV: cornerharrisand is straightforward to use. you call it on an input image and the result is an image of floats which gives the corner strength at each pixel location. A threshold is then applied on this ou
It's a sin to play with image opencv! Books have already been purchased. Use them now. A problem occurs at the beginning. oh, mygod! Vs2008opencv2.3.1win7 program code: # includehighgui. hintmain (intargc, char * argv []) {IplImage * imgcvLoadImage(lena.jpg); cvNamedWindow (exa
It's a sin to play with image opencv! Books have already been purchased. Use them now. A problem occurred when I started using it.
Cool liukun321
From: http://blog.csdn.net/liukun321
Essentially, an image is a matrix composed of numbers. Opencv 2.x represents an image by the data structure of CV: mat. Each element of the matrix represents a pixel. For color images, the element of the matrix is a ternary number. With this new understanding of the image, we can try to use opencv to process the image.Let's take a look at the image to be
I have previously introduced a Article on target detection using cascading classifier skip. We found that the Haar features in the library of opencv are only human faces, human organs, and human bodies. Recently, we wanted to perform a human hand detection. We used color features to make it very unreliable, try again with the Haar feature this time. In this case, you need to use the haartraining tool to train your hands. First, I would like to intro
I want to change the csdn account's profile picture to my real profile picture, but I don't want to change it so directly. I just want to convert the profile picture into a two-value diagram, because the original image cannot be pushed out from the binary image. This process requires two functions of opencv. The first function is to convert a color image to a grayscale image: cvtcolor function; the next function is to convert a grayscale image to a bi
OpenCV Chinese Website: http://wiki.opencv.org.cn/index.php/%E9%A6%96%E9%A1%B5
http://codego.net/365464/
OpenCV as free software for open source, bug and feature problems (can be replaced with Intel IPP)
For example, PNG file with transparency, check data that OPENCV does not support the 4th channel of PNG, that is, the transparency channel.
Some said to
The simplest Hof transformation is to recognize straight lines in an image. In the Cartesian coordinate system (x-y) of a plane, a straight line can be expressed in the following formula.
Y = kx + B
For a definite point (x_0, y_0) on a straight line, there are: y_0 = kx_0 + B
This indicates a straight line in the parameter plane (k-B. Therefore, a point in the image corresponds to a straight line in the parameter plane, and a straight line in the image corresponds to a point in the parameter pla
Everybody put Gpucuda said very NB malicious NB, so, next want to run through the GPU Acceleration program. This one weeks, all in the configuration OpenCV cuda environment, today finally ended in failure, because the lab's machine graphics do not support cuda ... Can't hurt, a week AH!!!CUDA-enabled Gpu:http://developer.nvidia.com/cuda-gpusAlthough, eventually failed, but there is still a harvest, it is summed up, remind yourself, also give us a refe
Opencv 2.4.2 Introduction
Opencv never slowed down its own footwork,In July 4, the latest version 2.4.2 was released again.. At the same time, two website regions are released.
Let's take a look at the updates and changes to the new version:
Now supports IOS OS! You can also use opencv to develop your iPhone.
Added a new feature description.AlgorithmFreakT
Original article, post Please note: http://blog.csdn.net/crzy_sparrow/article/details/7407604
Directory:
1. General Method of Target Tracking Based on Feature Points
Ii. Optical Flow Method
Iii. Optical Flow functions in opencv
Iv. Object Tracking Method Based on Optical Flow Method with class Encapsulation
5. complete code
Vi. References
1. General Method of Target Tracking Based on Feature Points
Feature point-based tracking algorithms can be roug
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)
In the latest version of 2.4.2, the document update is also a highlight. refrence manual has expanded more than 200 pages and added the contrib part of the document. Contrib refers to the newly added modules in opencv, but it is not very stable and can be considered as a prototype. This time, in conjunction with the refman reading, we will introduce the facerecognizer face recognition class, which is also highlighted in the 2.4.2 Update log, and the s
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 .....
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.normalize, and make the histogram of these 10 classe
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