README.en-US.md

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• Image Processing and Computer Vision Guide
  • Documentation
  • Example Projects
  • Contribute
  • Question & Answer
  • License

This guide to help you understand the basics of computerized view and to develop computer vision vision with OpenCV. Python, Java, JavaScript, C # and C ++ are supported with examples. If you want to contribute the project; You can look at the contribute section.Feel free to contact us if you have a request or suggestion. To contact websitee or email. Much obliged!

Image Processing and Computer Vision Guide

You will learn the image processing and machine learning algorithms. We will develop example applications using Python , C++, JavaScript (OpenCV.JS), MATLAB and C# (EmguCV) programming languages. This guide is intended to help you understand the basics of computerized view and develop OpenCV and computer vision applications. This document has been prepared to address those who have not previously been engaged in image processing, who are not familiar with the subject matter, and who, on the contrary, are knowledgeable about this subject and who want to develop themselves on different topics. Sample projects can be found in code and documents in docs directory.

Documentation

Lecture	Abstract
What is OpenCV?	OpenCV history and components, alternative image processing libraries, OpenCV 2 vs OpenCV 3 vs OpenCV 4 and OpenCV 4 future.
Development Environment and Platforms	Which platform and development environment should be selected, why Java, C ++ and Python are used for image processing.
OpenCV Wrappers	What is Wrapper? What is EmguCV, JavaCV, LiveCV, Ruby CV, and what are the differences between wrappers?
Installation and Compilation	OpenCV installation for Windows, Linux, macOS and Raspberry Pi.
IDE Configuration	Configuration settings for Eclipse, Netbeans, Android Studio and Intellij IDEA.
Introduction and Basic Concepts	Image processing concepts. From the file, from the camera, reading the image from the IP camera. Changing camera parameters.
Video Recorders and Decoders	Codec, FourCC and video recorder.
Image Manipulation	Pixel manipulation, geometric objects and geometric transformations.
Color Spaces and Histogram	Color spaces, color spaces conversion. Histogram concept and histogram matching.
Morphological Image Processing	Morphological operators and thresholding: Erosion, dilation, closing, gradyan, thresholding etc.
Filters and Edge Detection	Filtering and edge detection algorithms: Blur, Sobel, Laplace, Canny etc.
Background Subtraction	OpenCV background subtractor: Absdiff, MOG, MOG2 and GMG.
Object Detection and Object Recognition	Object detection processes and algorithms. HaarCascade, TemplateMatching, DNN, CNN, SVM Machine Learning and Deep Learning Algorithms etc.
Feature and Feature Extraction	Feature , feature extraction for object detection, and feature matching. Brute-Force, FLANN, SURF, SIFT, BRIEF, ORB, FAST algorithms etc.
Video Analysis and Object Tracking	Mean Shift, Camshift, Optical flow, GOTURN, BOOSTING, MIL, CNN etc. Object or area tracking on video.
Image Distortion and Stereo Vision	Image distortion and camera calibration, 3D images, depth estimation, stereoscopic vision and stereo image processing.
Face Recognition	What is face recognition? Face recognition with Eigenfaces, Fisherfaces, LBPH and machine learning algorithms. Different library integrations (dlib, tensorflow and face_recognition).
Optical Character Recognition OCR	Detecting text on the image. OCR processes, algorithms and libraries. Tesseract, textocr etc.
GPU and Parallel Computing	Development of parallelized computerized vision applications on Nvidia GPU with Cuda module.
OpenCV Mobile	Computerized view and image processing on mobile devices with Android and iOS operating system.
Augmented Reality	3D models have been acquired through the camera, dressed on real-world image. OpenCV and OpenGL integration. Interactive computer vision application development.

Example Projects

Topic	Python	Java	C++	C#	JavaScript
Video I/O	Video and Camera I/O Video Recorder
Image Manipulation	Geometric Shape Drawing Image Crop Pixel Manipulation Image Resize
Color Spaces	Color Space Conversion
Morphological Image Processing	Opening Closing Dilation Gradient Erosion
Filters	Guassian Sobel Laplacian & Sobel
Edge Detection	Canny GaussianBlur & Canny & Sobel & Prewitt				Canny
Background Subtraction	Absdiff BackgroundSubtractorMOG - MOG2 - GMG
Video Analysis and Object Tracking	MeanShift CamShift	Color-Based Object Tracking
Object Detection and Object Recognition	Template Matching Object Recognition with Deep Neural Network DNN Face Detection with Haar Cascade Classifier	Object Recognition with Template Matching Object Recognition with Deep Neural Network DNN Face Detection with Haar Cascade Classifier
Feature Extraction
Camera Calibration and 3D Vision	Fisheye Image Correction Camera Calibration
Machine Learning and Deep Learning	Face Detection with Deep Neural Network (DNN)	Gender Detection with Deep Neural Network (DNN)
Face recognition	Face Recognition with "FaceRecognition Lib" Face Recognition with FaceNet			Face Recognition with Eigenfaces and Fisherfaces
Optical Character Recognition OCR	OCR with Tesseract
GPU and Parallel Computing
OpenCV MobilE
Augmented Reality and Image Blending	Hat Filter - Face Detection and Hat Adding

Contribute

It's really nice to think about contributing, so you can look at the Contribute link.

Question & Answer

You can ask questions, source codes or any other questions by using the issues section (new issues). You can also use this section if you want to answer a question or check out the previous ones.

License

Documents and source codes contained in this project are licensed MIT License.