Computer Vision: How to Rotate and Crop Images

Overview

Master image manipulation techniques for cropping, rotating, and applying affine transformations in computer vision to improve framing and orientation of images.

Syllabus

• Introduction to Computer Vision
Overview of computer vision applications
Importance of image manipulation in computer vision
• Basics of Image Representation
Image data structures (pixels, color channels)
Coordinate systems in images
• Image Rotation Techniques
Understanding angles and degrees for rotation
Implementing simple rotation algorithms
Handling image boundaries and artifacts
• Image Cropping Methods
Defining regions of interest
Manual vs. automated cropping techniques
Aspect ratio maintenance
• Affine Transformations
Introduction to affine transformations
Matrix representation of transformations
Combining rotation, translation, scaling, and shearing
• Practical Tools and Libraries
Overview of popular libraries (OpenCV, PIL, etc.)
Implementing transformations using Python libraries
• Case Studies and Real-world Applications
Common use cases in industry
Image pre-processing for machine learning models
• Hands-on Projects and Exercises
Rotating and cropping sample images
Developing a mini-project using learned concepts
• Advanced Topics (Optional)
Perspective transformations
Distortion correction techniques
• Conclusion
Summary of key takeaways
Further reading and resources for continued learning

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Subjects

Data Science