 2013 - 2014 | ||||||||||||||||||||||||||||||||||||
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| 0510-7213-01 | Advanced Laboratory in Digital Image Processing | |||||||||||||||||||||||||||||||||||
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| FACULTY OF ENGINEERING | ||||||||||||||||||||||||||||||||||||
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Course description
The course covers all basic image processing application tasks: image digitization, compression, re-sampling and geometrical transformations, target location and image registration, image restoration, perfecting and enhancement. It is aimed at providing students with a deep experimental experience in using and implementation of digital image processing methods. The course uses a Matlab based image processing package and requires familiarity with the usage of Matlab.
List of the Lab topics:
Lab 1. Image Digitization: Discretization
Lab 2. Image Digitization: Quantization
Lab 3. Image Coding: Predictive Methods
Lab 4. Image Coding: Transform Methods
Lab 5. Image Global and Local Statistics
Lab 6. Statistical Image and Noise Models and Noise Diagnostics
Lab 7. Image Re-sampling and Geometrical Transformations
Lab 8. Target Location, Object Detection, Image Registration: Localization Accuracy and Reliability
Lab 9. Target Location and Object Detection in Clutter Images
Lab 10. Linear Filters for Image Restoration and Enhancement
Lab 11. Rank Filters for Image Restoration, Enhancement, Segmentation and Edge Detection
Lab 12. Image Perfecting and Enhancement