Image Processing and Computer Vision with MATLAB and Simulink Training by Tonex
Image Processing and Computer Vision with MATLAB and Simulink is a comprehensive training course designed to equip professionals with the essential skills and knowledge needed to excel in the fields of image processing and computer vision. Participants will gain hands-on experience using MATLAB and Simulink to develop advanced image processing and computer vision applications.
By the end of this course, participants will have a strong foundation in image processing and computer vision and the practical skills to apply these concepts using MATLAB and Simulink in real-world scenarios.
Learning Objectives:
Upon completing this course, participants will be able to:
- Learn the fundamental concepts of image processing and computer vision.
- Implement image enhancement and filtering techniques using MATLAB.
- Develop computer vision algorithms for object detection and recognition.
- Perform image segmentation and feature extraction.
- Create real-world applications with MATLAB and Simulink.
- Apply best practices for optimizing and deploying image processing solutions.
Target Audience:
This course is suitable for:
- Engineers and researchers working in image processing and computer vision.
- Software developers interested in incorporating image analysis into their projects.
- Academics looking to gain practical skills in MATLAB and Simulink for image processing.
- Professionals seeking to enhance their expertise in computer vision technology.
Course Outline:
Introduction to Image Processing
- Basics of image representation and types
- Image acquisition and preprocessing
- MATLAB tools for image manipulation
- Image enhancement techniques
- Hands-on exercises in MATLAB
Image Filtering and Restoration
- Convolution and filtering operations
- Spatial and frequency domain filtering
- Noise removal techniques
- Image restoration methods
- Practical exercises with MATLAB
Computer Vision Fundamentals
- Introduction to computer vision
- Feature extraction and matching
- Object detection and tracking
- Optical flow and motion analysis
- Hands-on computer vision projects
Image Segmentation and Recognition
- Image segmentation techniques
- Edge detection and contour analysis
- Object recognition and classification
- Case studies in object detection
- MATLAB applications in image recognition
Advanced Topics in Image Processing
- Morphological image processing
- Color image processing
- Medical image analysis
- Image compression techniques
- MATLAB-based projects
Deploying Solutions with Simulink
- Introduction to Simulink for image processing
- Simulink model development
- Real-time image processing
- Optimization and deployment strategies
- Final projects and presentations