Allocate and release image space
Allocate image space:Iplimage * cvcreateimage (cvsize size, int depth, int channels );Size: cvsize (width, height );Depth: ipl_depth_8u, ipl_depth_8s, ipl_depth_16u,Ipl_depth_16s, ipl_depth_32s, ipl_depth_32f, ipl_depth_64fChannels: 1, 2, 3 or 4.Note that the data is cross-access. The color image data is arranged as B0 G0 R0 B1 G1 R1...Example:// Allocate a single-channel byte ImageIplimage * img1 = cvcreateimage (cvsize (640,480), ipl_depth_8u, 1 );// Allocat
Opencv experiences (1)
The second chapter of learning opencv mainly introduces some common and interesting functions and data types, so that students at the beginning are more interested in image processing, although I do not understand the internal experiment of the function and the meaning of some defined constants, I am still very happy after learning Chapter 2. At least I know some basics of image proce
5 VideoGoal? Learn to read video files, display videos, save video files? Learn to get and display video from the camera? You will learn these functions: Cv2. Videocapture (), Cv2. Videowrite ()5.1 Capturing video with the cameraWe often need to use the camera to capture live images. The OpenCV provides this application with aA very simple interface. Let's use the camera to capture a video and convert it into grayscale videoShow up. Let's start with t
Before you write it.Since last year, I've been focusing on Python's software, breaking up and learning something about Python on the way. It feels like Python is a simple, easy-to-start scripting language, with many third-party libraries making python exceptionally powerful. Be able to deal with many different problems at the same time its many open source free libraries make Python's use is also very extensive.In the field of scientific computing, data processing and image, MATLAB has been used
Preface
I recently made a digital identification on the card. Call the Caffe module, directly using the Mnist model, but this article does not speak Caffe.
Need to first a series of pretreatment of the picture, the number of cards separated out, a bit of OCR feeling.
I'll write down all the OPENCV functions I use this time. 1. Read the video cv2. Videocapture ()
Parameter 1: Can be a number, corresponding to the camera head number. Can be a video nam
)){Cvshowimage ("video", frame);}Cvdestroywindow ("video");Cvreleasecapture (capture);return 0;}6. Compiling the connection test programarm-linux-g++-i/usr/local/arm/include/opencv/-l/usr/local/arm/lib//libopencv_imgproc.so-l/usr/local/arm/lib// Libopencv_core.so-l/usr/local/arm/lib//libopencv_flann.so-l/usr/local/arm/lib//libopencv_highgui.so-l/usr/ Local/arm/lib//libopencv_ml.so-lpthread-lrt-o Test Test.cppThere seems to be some warning, first ignor
The first time win7+vs2010+opencv3.0, the results are unsuccessful, the reason for the extraction of no VC10, may not be in the new version of the old VC support. So changed vs2013+opencv3.0, compared to the classic installation vs2010+opencv2.4.9, the new version has a lot of functions or address changes, 3.0 Sometimes the video screen may be wrong.Here are the installation procedures for my vs2013+opencv3.0:The following starts to describe how to configure, I use the system is win8.1 64-bit sy
(Conversion) OpenCV extracts each frame of the video and then combines consecutive images into a video. opencv extracts
Reference blog: http://blog.sina.com.cn/s/blog_60b330b801018s0u.html
Running Environment: Win7 OpenCV1.0 VC6.0. The following video generation Code uses the XVID encoder. If no download is required on the computer, otherwise the size of the generated video file is 0. Or you can set cvCreat
Python-opencv extracts the contour of an image when there is noise, and python-opencv outlines
For general image contour extraction, this blog introduces a good method, but for noisy images, the target object cannot be captured well.
For example, for my mouse, the extracted contour is not good because of the noise:
So this article adds the noise removal part.
First load the original image and display the i
1. Random Color
The method of taking the random number from the OPENCV, using the steps:
0xFFFFFFFF= rng.uniform (lower limit, upper limit);
2. Display text
voidPuttext (mat img,Const string text, point org,intFontface,DoubleFontscale, Scalar color,intthickness=1,intLinetype=8,BOOLbottomleftorigin=false) Img–image.text–textstringTo be drawn.org–bottom-left corner of the textstring inchThe image.font–cvfont structure initiali
Using the Iplimage pointer data type in the old version requires manual allocation and release, which is more cumbersome.This shortcoming is avoided by using the mat data structure directly in the new version.No technical content, no more nonsense, just look at the comments in the code.#include "OpenCv" OpenCv a simple comparison between the original version and the new version (2.4.10)
In order to verify the algorithm in the previous blog, you can make a slight modification by using the image structure in opencv. For simplicity, using mat. at
In the algorithm, manually select the threshold value for binarization of the image, which has a great impact on the effect of the watershed algorithm. We have also used cvadaptivethreshold in opencv to automatically select and seek, but the effect
Speed comparison of opencv image traversal methods and comparison of opencv Images
Condition: for a single line, the main frequency is 3.4ghz. the image image.jpg is 768x576.
// ReadImage. cpp: defines the entry point of the console application. // # Include "stdafx. h "# include
We can see that for image traversal of this size, the pointer method is 30 times faster than the method using the iter
Opencv matrix operations (3), opencv matrix operationsIntroduction
This article undertakes the previous article and continues to use matrix computing functions under opencv.Specific Code for Matrix Replication
printf("mat1:\n"); showMatdate(mat1); mat3 = Mat(3, 3, CV_64FC1); src3 = mat3; cvRepeat(src1, src3); printf("cvRepeat(mat1):\n"); showMatdate(mat3);Result Display
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Opencv achieves character segmentation for License Plate Recognition, opencv license plateIntroduction
In the previous article, we have located the license plate number in the image, copied the license plate number into a new image, and displayed it, this chapter continues to process the captured images. The new screenshot is as follows:
Gray-scale image
Opencv solves AX = 0, opencv solves ax
When Ax = 0, cvsolve cannot be used to pick up functions. However, you can use the following functions to solve the problem.
# Include
Cvsolve is used when solving Ax = B and B is not zero vector
Reproduced fromOPENCV 2.4.9 Configuration installation under UbuntuEvery time you learn something new or change a new computer, the most annoying thing is the installation of the environment. There are a lot of tutorials on the Internet, but in general, it's confusing, some even misleading, and of course some quality blogs. To make it easier for you to repeat the installation later and to help friends in need, here are some useful blogs to sort out.Here are some of the main ways to install
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