alihan/Basic-OpenCV-Tutorial
1
0
Fork 0
mirror of https://github.com/kadirkaya28/Basic-OpenCV-Tutorial.git synced 2021-05-25 22:22:09 +03:00
Code Issues Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
kadirkaya28
2021-05-24 15:36:44 +03:00
committed by GitHub
parent d5ff81c4a1
commit b18b2922e2
1 changed files with 87 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

88
README.md
View File

@@ -1 +1,87 @@
# Basic-OpenCV-Tutorial
# Basic OpenCV Tutorial
This tutorial to help you understand the basics of image processing and to develop computer vision tasks with OpenCV. This tutorial is supported with examples. The theory of most functions used is explained at a basic level. It is explained what the functions are for and what the function parameters are. Someone who understands and completes this tutorial will be able to easily develop basic level computer vision tasks.
## Contents
### Images
1. [Reading and Showing Images](#1)
1. [Changing Colorspaces](#2)
1. [Create Histogram](#3)
1. [Histogram Equalization](#4)
* [Adaptive Histogram Equalization](#5)
1. [Thresholding](#6)
1. [Image Resizing](#7)
1. [Drawing and Writing in Images](#8)
1. [Arithmetic Operations on Images](#9)
* [Image Addition](#10)
* [Image Blending](#11)
* [Bitwise Operations](#12)
1. [Morphological Transformations](#13)
* [1. Erosion](#14)
* [2. Dilation](#15)
* [3. Opening](#16)
* [4. Closing](#17)
* [5. Morphological Gradient](#18)
* [Structuring Element](#19)
1. [Image Smoothing](#20)
1. [Perspective Warping](#21)
1. [Shifting and Rotation](#22)
1. [Harris Corner Detection](#23)
1. [Shi-Tomasi Corner Detector & Good Features to Track](#24)
1. [Image Gradients](#25)
1. [Canny Edge Detection](#26)
1. [Contours](#27)
* [Contour Features](#28)
* [1. Moments](#29)
* [2. Contour Area](#30)
* [3. Contour Perimeter](#31)
* [4. Contour Approximation](#32)
* [5. Convex Hull](#33)
* [6. Bounding Rectangle](#34)
* [6.1. Straight Bounding Rectangle](#35)
* [6.2 Rotated Rectangle](#36)
1. [Template Matching](#37)
1. [Probabilistic Hough Line Transform](#38)
1. [Hough Circle Transform](#39)
1. [Haar Cascades](#40)
* [1. Face Detection](#41)
* [2. Eye Detection](#42)
* [3. Mouth Detection](#43)
* [4. Smile Detection](#44)
* [5. Simple Mask Detection](#45)
### Videos
1. [Capture Video from Camera](#1)
1. [Capture Video from IP Camera](#2)
1. [Playing Video from File](#3)
1. [Playing Video from Youtube](#4)
1. [Saving a Video](#5)
1. [Video Capture Properties](#6)
1. [Background Subtraction](#7)
1. [Trackbar](#8)
1. [Simple Blob Detection](#9)
1. [Calculate FPS](#10)
1. [Image to Text](#11)
* [Real Time Text Recognition ](#12)
# Resources
1. https://docs.opencv.org
1. https://www.geeksforgeeks.org
1. https://learnopencv.com
1. https://stackoverflow.com
1. https://codimp.com
1. [ P. Viola and M. Jones, "Rapid object detection using a boosted cascade of simple features," Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, 2001, pp. I-I, doi: 10.1109/CVPR.2001.990517.](https://ieeexplore.ieee.org/document/990517)
* Additionally, other resources are mentioned in the notebook.