OpenCV 시작

Open CV (Open Source Computer Vision) : http://opencv.org/

Downloads : http://opencv.org/downloads.html

Documentation : http://opencv.org/documentation.html

2017년 2월 현재 OpenCV 3.2 까지 나와있다.

OpenCV API

• core. The Core Functionality
  • Basic Structures
  • Basic C Structures and Operations
  • Dynamic Structures
  • Operations on Arrays
  • Drawing Functions
  • XML/YAML Persistence
  • XML/YAML Persistence (C API)
  • Clustering
  • Utility and System Functions and Macros
  • OpenGL interoperability
• imgproc. Image Processing
  • Image Filtering
  • Geometric Image Transformations
  • Miscellaneous Image Transformations
  • Histograms
  • Structural Analysis and Shape Descriptors
  • Motion Analysis and Object Tracking
  • Feature Detection
  • Object Detection
• highgui. High-level GUI and Media I/O
  • User Interface
  • Reading and Writing Images and Video
  • Qt New Functions
• video. Video Analysis
  • Motion Analysis and Object Tracking
• calib3d. Camera Calibration and 3D Reconstruction
  • Camera Calibration and 3D Reconstruction
• features2d. 2D Features Framework
  • Feature Detection and Description
  • Common Interfaces of Feature Detectors
  • Common Interfaces of Descriptor Extractors
  • Common Interfaces of Descriptor Matchers
  • Common Interfaces of Generic Descriptor Matchers
  • Drawing Function of Keypoints and Matches
  • Object Categorization
• objdetect. Object Detection
  • Cascade Classification
  • Latent SVM
• ml. Machine Learning
  • Statistical Models
  • Normal Bayes Classifier
  • K-Nearest Neighbors
  • Support Vector Machines
  • Decision Trees
  • Boosting
  • Gradient Boosted Trees
  • Random Trees
  • Extremely randomized trees
  • Expectation Maximization
  • Neural Networks
  • MLData
• flann. Clustering and Search in Multi-Dimensional Spaces
  • Fast Approximate Nearest Neighbor Search
  • Clustering
• gpu. GPU-accelerated Computer Vision
  • GPU Module Introduction
  • Initalization and Information
  • Data Structures
  • Operations on Matrices
  • Per-element Operations
  • Image Processing
  • Matrix Reductions
  • Object Detection
  • Feature Detection and Description
  • Image Filtering
  • Camera Calibration and 3D Reconstruction
  • Video Analysis
• photo. Computational Photography
  • Inpainting
  • Denoising
• stitching. Images stitching
  • Stitching Pipeline
  • References
  • High Level Functionality
  • Camera
  • Features Finding and Images Matching
  • Rotation Estimation
  • Autocalibration
  • Images Warping
  • Seam Estimation
  • Exposure Compensation
  • Image Blenders
• nonfree. Non-free functionality
  • Feature Detection and Description
• contrib. Contributed/Experimental Stuff
  • Stereo Correspondence
  • FaceRecognizer Documentation
  • Retina Documentation
  • OpenFABMAP
• legacy. Deprecated stuff
  • Motion Analysis
  • Expectation Maximization
  • Histograms
  • Planar Subdivisions (C API)
  • Feature Detection and Description
  • Common Interfaces of Descriptor Extractors
  • Common Interfaces of Generic Descriptor Matchers
• ocl. OpenCL-accelerated Computer Vision
  • OpenCL Module Introduction
  • Data Structures and Utility Functions
  • Data Structures
  • Operations on Matrics
  • Matrix Reductions
  • Image Filtering
  • Image Processing
  • ml.Machine Learning
  • Object Detection
  • Feature Detection And Description
  • Video Analysis
  • Camera Calibration and 3D Reconstruction
• superres. Super Resolution
  • Super Resolution
• viz. 3D Visualizer
  • Viz
  • Widget

OpenCV 는 크게 다음과 같이 나눌수 있다.

1. CV : 기본적인 영상 처리와 고수준의 컴퓨터 비전 알고리즘
2. MLL : 다양한 통계 분류와 군집화 도구 등의 기계 학습 라이브러리
3. HighGUI : GUI, 영상과 비디오에 대한 입출력에 관련된 함수들
4. Core : 기본적인 자료 구조와 알고리즘

 

OpenCV 시작

정지영상 출력

#include "highgui.h"

// OpenCV는 비디오와 카메라 입력 뿐 아니라 다양한 포멧의 영상 파일을 불러올수 있다. 이러한 기능은 HighGUI 라이브러리에 정의가 되어있다. 

int main(int argc, char **argv)

{

      IplImage* img = cvLoadImage("sample.jpg");

      // cvLoadImage()는 파일의 형식을 자동으로 파악하여 영상을 불러오며 메모리공간도 자동으로 할당한다.

      // bmp,dib,jpeg,jpe,png,pbm,pgm,ppm,sr,ras,tiff 등의 영상포멧을 읽을 수 있다.

      // IplImage 타입은 모든 형태의 영상데이터를 표현할 수 있으며 영상 데이터를 조작할 때 주로 사용한다.

      cvNamedWindow("Example1", CV_WINDOW_AUTOSIZE);

      // HighGUI 라이브러리 함수들은 위도우 이름을 이용하여 윈도우를 구분하고 제어한다.

      cvShowImage("Example1", img);

      cvWaitKey(0);

      cvReleaseImage(&img);

      // img에 할당된 메모리 해제.

      cvDestroyWindow("Example1");

      return 0;

}

끝.