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Course Outline
Day 1:
- Loading images
- Working with RGB components
- Saving processed images
- Grayscale images
- Binary images
- Using masks
Day 2:
- Interactive image analysis
- Noise removal
- Image alignment and panoramic scene creation
- Detecting lines and circles
Day 3:
- Image histograms
- Creating and applying 2D filters
- Segmenting object edges
- Segmenting objects by color and texture
Day 4
- Batch processing of image sets
- Morphological operations for shape-based segmentation
- Measuring shape properties
Requirements
A fundamental understanding of computer programming and image concepts is required.
28 Hours
Testimonials (2)
The many examples and the building of the code from start to finish.
Toon - Draka Comteq Fibre B.V.
Course - Introduction to Image Processing using Matlab
Hands on building of the code from scratch.