Computer vision is a rapidly growing field that involves extracting information from images and videos. It has applications in various domains such as medical imaging, surveillance, autonomous vehicles, and more. In this tutorial, we will provide an overview of computer vision and its key concepts.
Key Concepts
- Image Processing: The process of manipulating or transforming an image to extract useful information.
- Feature Extraction: The process of identifying important features in an image that can be used for further analysis.
- Object Detection: The process of identifying and locating objects within an image or video.
- Image Classification: The process of categorizing images into predefined classes.
Applications
Computer vision has a wide range of applications, including:
- Medical Imaging: Detecting diseases such as cancer, fractures, and neurological disorders.
- Surveillance: Monitoring public areas for security purposes.
- Autonomous Vehicles: Enabling vehicles to navigate and make decisions based on visual information.
- Agriculture: Monitoring crop health and yield prediction.
Resources
For further reading, you can explore the following resources:
Computer Vision