Course: Digital Image Processing and Analysis
Code: 3ФЕИТ05023
ECTS points: 6 ECTS
Number of classes per week: 3+0+0+3
Lecturer: Prof. Dr. Zoran Ivanovski
Course Goals (acquired competencies): Upon completion of the course the student will be able to: – understand image formation, acquisition and representation, the role of sampling and quantization in digital images, image transformations and human visual system; – understand contemporary methods of image processing, image enhancement, restoration, and color processing; – use and apply techniques for preprocessing, advanced techniques for image segmentation, and techniques form image representation and shape and texture description; – consider and evaluate applicability of image processing and analysis techniques for practical problem solving; – follow the advances and new discoveries in image processing and analysis and to assess its applicability in different areas; – assess and evaluate the utilization of image processing/analysis systems as parts of information processing systems; – select and describe evaluation criteria for image processing/analysis systems.
Course Syllabus: Image digitalization and properties. Data structures form image processing and analysis. Image preprocessing: transformation of luminance, geometric transformations, local processing, restoration. Advanced segmentation techniques: thresholding, border detection, border and area detection based on optimality criteria. Shape representation and description: region identification, shape representation and description based on contours, region based shape representation and description, shape classes. Object recognition: knowledge representation, statistical and syntactic pattern recognition, optimization based recognition. Mathematical morphology: basic principles and morphological transforms, topological processing. Textures: statistical texture description, syntactic texture description, hybrid methods, application of texture recognition. Motion analysis: differential methods, optical flow, motion analysis based on POI.
Literature:
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Required Literature |
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1 |
Milan Sonka, Vaclav Hlavac, Roger Boyle | Image Processing, Analysis and Machine Vision | Springer | 2013 |
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Additional Literature |
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No. |
Author |
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Publisher |
Year |
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1 |
Rafael C. Gonzalez, Richard E. Woods | Digital Image Processing | Pearson Education | 2011 |
