How can you use Python for image processing?

Introduction to Python Image Processing

Python is a powerful programming language that offers various libraries and tools for image processing. In this guide, we will explore the key libraries and techniques for performing image processing tasks in Python.

Popular Libraries for Image Processing

• OpenCV: An open-source library for computer vision and machine learning.
• Pillow: A fork of the Python Imaging Library (PIL) for basic image processing.
• scikit-image: A collection of algorithms for image processing.
• imageio: A library that provides an easy interface for reading and writing images.

Key Image Processing Techniques

1. Image Enhancement: Techniques to improve the visual quality of images.
2. Image Filtering: Applying filters to images to achieve effects like blurring and sharpening.
3. Feature Detection: Identifying and analyzing features within images.

These techniques are fundamental in various applications, from enhancing photo quality to building computer vision systems.