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Course Outline
Day 1:
- Loading images
- Dealing with RGB components of the image
- Saving the new images
- Gray scale images
- Binary images
- Masks
Day 2:
- Analyzing images interactively
- Removing noise
- Aligning images and creating a panoramic scene
- Detecting lines and circles in an image
Day 3:
- Image histogram
- Creating and applying 2D filters
- Segmenting object edges
- Segmenting objects based on their color and texture
Day 4
- Performing batch analysis over sets of images
- Segmenting objects based on their shape using morphological operations
- Measuring shape properties
Requirements
Basic knowledge of computer programming and images.
Testimonials
Trainer took the initiative to cover additional content outside our course materials to improve our learning.
Chia Wu Tan - SMRT Trains Ltd
Exercises were most beneficent thing in the sessions
- Halcon Systems
Students interact to solve problems
- 东风康明斯
Interaction
chengyang cai - 东风康明斯
Alternation theory / practice effective!
- CIRAD
Progressive presentation and application of methods
Aurélien Briffaz - CIRAD
Availability and adaptability, answers to questions
Jean-Michel MEOT - CIRAD
Issues discussed, exercises carried out (examples), atmosphere of training, contact with the trainer, location.
- Wojskowe Zakłady Uzbrojenia S.A. w Grudziądzu
His deep knowledge about the subject
Teaching style and ability of the trainer to overcome unforeseen obstacles and adopt to circumstances. Broad knowledge and experience of the trainer
ASML
Overall good intro to Python. The format of using Jupyter notebook and live examples on the projector was good for following along with the exercises.
ASML
Hands on experience.
Matevz Nolimal - European Investment Bank
Many useful exercises, well explained
Helene Meadows - European Investment Bank
His deep knowledge about the subject
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