This repository focuses on image processing in Python. Here's a simplified overview:
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Introduction: Learn to manipulate and analyze images using Python.
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Key Libraries:
- OpenCV: A powerful library for image processing.
- Scikit-Image: Ideal for image segmentation and filters.
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Basic Image Operations:
- Loading and displaying images.
- Image resizing, rotation, and cropping.
- Changing image color spaces (e.g., grayscale, RGB).
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Image Filtering and Enhancement:
- Applying filters like blurring and sharpening.
- Histogram equalization for enhancing contrast.
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Object Detection:
- Detecting objects in images using techniques like Haar cascades.
- Implementing custom object detection with machine learning.
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Image Segmentation:
- Separating an image into distinct regions.
- Useful for tasks like object recognition.