Computer Vision Algorithm and Real Time Processing
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Course Details
- Introduction
- Objective
- Who should attend
Computer vision is a field that focuses on enabling machines to interpret and make decisions based on visual input, simulating the human ability to perceive and understand images.
With the increasing demand for automated visual analysis across industries such as healthcare, robotics, and security, understanding the algorithms and real-time processing techniques behind computer vision is more important than ever. The Computer Vision Algorithm and Real-Time Processing course provides a detailed exploration of the fundamental concepts, methods, and technologies that drive modern computer vision systems.
It covers image processing techniques, feature extraction, object detection, and advanced deep learning models. The course emphasizes both theoretical knowledge and practical skills, using Python and OpenCV for hands-on activities to ensure that participants gain a solid understanding of real-time computer vision applications.
Course Outline
Introduction to Computer Vision and Image Processing
- Introduction to computer vision: Concepts, benefits and applications
- Exploring the historical evolution of computer vision
- Distinguishing between traditional computer vision and AI-based approaches
- Definition and applications of image processing
- Exploring image processing techniques:
- Filtering
- Noise reduction
- Enhancement
- Image transformation
- Activity: Performing basic image manipulation techniques using Python and OpenCV
Course Video