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2D image processing
The course is devoted to the usage of computer vision libraries like OpenCV in 2d image processing. The course includes sections of image filtering and thresholding, edge/corner/interest point detection, local and global descriptors, video tracking.
Aim of the course:
• Learning the main algorithms of traditional image processing
• Thorough understanding of benefits and limitations of traditional image processing
Practical Learning Outcomes expected:
• Mastering programming skills of image processing with computer vision libraries
This Course is part of HSE University Master of Computer Vision degree program. Learn more about the admission into the program and how your Coursera work can be leveraged if accepted into the program here https://inlnk.ru/r381p.
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| Rating | Not enough ratings |
|---|---|
| Length | 5 weeks |
| Starts | Jan 24 (121 weeks ago) |
| Cost | $49 |
| From | HSE University via Coursera |
| Instructors | Andrey Savchenko, Alexander Smorkalov, Alexander Demidovskij, Anastasiia Sokolova |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science |
| Tags | Data Science Data Analysis |
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| Rating | Not enough ratings |
|---|---|
| Length | 5 weeks |
| Starts | Jan 24 (121 weeks ago) |
| Cost | $49 |
| From | HSE University via Coursera |
| Instructors | Andrey Savchenko, Alexander Smorkalov, Alexander Demidovskij, Anastasiia Sokolova |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science |
| Tags | Data Science Data Analysis |
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