Image Processing Basic concepts and actions using OpenCV

In this project, I implemented some of the basic concepts in image processing using OpenCV, such as:

• channelize
• gaussian blur
• rotate & resize
• edge detection
• segmentation
• face detection

some of the results

Edge detection: Face detection:

How to install OpenCV

Windows:

At first, you should install python, you can download it at python page. Now how to install OpenCV:

Download numpy at numpy and openCV at opencv. Note : both are the same version. Run command prompt(run it as administrator) in directory you download the files, follow the instructions below:

pip install "numpy-...."

pip install opencv-python....

Mac OS X:

Open terminal, follow the instructions below:

sudo xcodebuild -licence

sudo xcode -select --install

ruby -e "$(curl -fsSl https://raw.githubusercontent.com/Homebrew/install/master/install)"

brew update

brew install python3

brew linkapps python3

brew tap homebrew/science

brew install opencv3 --without-python --with-python3

PyCharm users:

After install python, you can write import cv2 and then press ALT+Enter and select install package.