Image Processing in Python

This repository focuses on image processing in Python. Here's a simplified overview:

1. Introduction: Learn to manipulate and analyze images using Python.

2. Key Libraries:

   • OpenCV: A powerful library for image processing.
   • Scikit-Image: Ideal for image segmentation and filters.

3. Basic Image Operations:

   • Loading and displaying images.
   • Image resizing, rotation, and cropping.
   • Changing image color spaces (e.g., grayscale, RGB).

4. Image Filtering and Enhancement:

   • Applying filters like blurring and sharpening.
   • Histogram equalization for enhancing contrast.

5. Object Detection:

   • Detecting objects in images using techniques like Haar cascades.
   • Implementing custom object detection with machine learning.

6. Image Segmentation:

   • Separating an image into distinct regions.
   • Useful for tasks like object recognition.