Computer vision is a rapidly evolving field that has gained significant attention in recent years. It involves the use of algorithms and techniques to enable computers to interpret and understand visual information from the world around us. In this tutorial, we'll delve into the basics of computer vision and explore its applications.
Key Concepts
- Image Processing: The process of manipulating or altering digital images.
- Feature Extraction: Extracting useful information from images to perform tasks such as classification or object detection.
- Machine Learning: Algorithms that allow computers to learn from data and make predictions or decisions.
Applications
Computer vision has a wide range of applications across various industries:
- Medical Imaging: Detecting diseases like cancer, diabetes, and Alzheimer's.
- Autonomous Vehicles: Enabling self-driving cars to navigate and make decisions on the road.
- Security: Facial recognition and surveillance systems for access control and public safety.
- Retail: Analyzing customer behavior and optimizing store layouts.
Learning Resources
To further explore computer vision, we recommend the following resources:
Image Processing
Feature Extraction
Machine Learning