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Visual Information Processing: Tools, Languages, and Platforms

This introduction provides information on the tools, compilers, languages, and libraries used in visual information processing, including OpenCV and CImg. It also covers platforms such as Windows, Linux, and Mac OS.

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Visual Information Processing: Tools, Languages, and Platforms

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  1. CS455/555Introduction to Visual Information Processing TA: Huiyuan Yang Office Hour: Tuesday and Friday 10:00am-11:00am

  2. tools Edit tools Compiler language • C++ • Java • Python • Matlab • VS • Vim • Sublime • VS • g++ Library OpenCV CImg etc Platform Windows Linux Mac OS

  3. load Image • save Image • edit Image

  4. OpenCV • OpenCV (Open Source Computer Vision Library) is a cross-platform computer vision library. • Windows, Linux, MacOS, IOS and Android • C++, Python, Java interfaces. https://opencv.org

  5. Compile with OpenCV on Linux • g++ -o binary main.cpp\ • -I/usr/local/include/opencv2 \ • -L/usr/local/lib/ \ • -lopencv_core \ • -lopencv_imgproc \ • -lopencv_highgui

  6. Load and save image using OpenCV • { • … • Mat image; • image =imread( img_filename, 1 ); • Mat gray_image; • cvtColor( image, gray_image, CV_BGR2GRAY ); • imwrite( "../../images/Gray_Image.jpg", gray_image ); • … • }

  7. CImg • The Cimg library is a small and open-source c++ toolkit for image processing. • Works on different operating systems. • Light-weight(only 15Mb) http://cimg.eu

  8. Compile Cimg on Linux: g++ -o out *.cpp–o2 –L/*/X11/lib –lX11 -lm –lpthread Compile Cimg on Macos: g++ -o out *.cpp–o2 –l/*/X11/include –L/*/X11/lib –lX11 -lm –lpthread

  9. Load and save image using CImg • { • … • CImg<unsigned char> image("lena.jpg"); • image.blur(2.5); • // more operations. • image.save(save_filename) • … • }

  10. Demo for Visual Studio Programming To use Cimg on Visual Studio: Download the latest version of Cimg and Unzip it; Open VS, and build a new Win32 Console application Add include directories: project -> properties -> VC++ directories ->included directories -> path_to_Cimg. Open a C++ file, and add include “CImg.h” Implement your own code now…

  11. Demo for programming on Mac OS

  12. Demo for python + OpenCV

  13. Demo for Matlab

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