Course Catalog 2008-2009 |
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MIT-3216 Measurement Based on Digital Image 1, 5 cr |
Heimo Ihalainen, Kalle Marjanen
| Lecture times and places | Target group recommended to | |
| Implementation 1 |
Jatko-opiskelijat
KV-opiskelijat |
Exercises, assignments and exam.
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This course provides basic understanding of methods for measurements based on digital image, digital image processing and statistical analysis of image information. Exercises and assignments focus on the computational methods for measurements based on digital image.
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Various imaging systems and their properties. Representation and compression of digital images. | Basic optics, properties of radiation and noise. Reversible and irreversible packing. | Basic noise statistics. |
| 2. | Image preprocessing methods. Using color images. | Background correction, digital filtering. Color representation. | Bayer-matrix for color images. |
| 3. | Methods developed for machine vision e.g. edge detection, segmentation. | Object location. Edge locations. | |
| 4. | Statistical image analysis and texture analysis. | Basic statistics. Analysis based on histograms. | Analysis based on 2D-spectrum. |
| 5. | Computer exercises and assignments cover the above topics in practice. |
Exercises, assignments and exam.
Numerical evaluation scale (1-5) will be used on the course
| Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
| Book | Digital Image Processing | Gonzales, Rafael C. & Woods, Richard E. | English |
| Course | O/R |
| SGN-3016 Digital Image Processing I | Recommended |
| Description | Methods of instruction | Implementation | |
| Implementation 1 | Lectures Excercises ITC Utilization Practical works |
Contact teaching: 0 % Distance learning: 10 % Self-directed learning: 10 % |