The course covers basic concepts and fundamental methodologies of Image Analysis, including the following themes: edge detection, histogram-based segmentation, segmentation by region splitting and merging, superpixels, region growing, Markov random field models for segmentation, segmentation using graph cuts, mean-shift algorithm, active contours, level sets, morphological image processing, watershed segmentation, boundary extraction, boundary description, image region description, texture description, corner detection, keypoint extraction, image classification.
Learning objectives
After successful completion of the course, students have an understanding of basic concepts and computational methods of image analysis. Students become familiar with a wide range of image segmentation algorithms and techniques, which form the foundation of two-dimensional image analysis. Emphasis is given to fundamental concepts that highlight a broader theoretical framework and offer a specific view in classical computational algorithms. Students will be familiar with feature extraction algorithms and content descriptors for semantic visual recognition
Grading
The evaluation is based on assignments and a final project.
The courses of the Computer Science Department are designated with the letters "CS" followed by three decimal digits. The first digit denotes the year of study during which students are expected to enroll in the course.
First Digit
Advised Year of Enrollment
1,2,3,4
First, Second, Third and Fourth year
5,6
Graduate courses
7,8,9
Specialized topics
Code
Computer Science Area
A1
Computer architecture and microelectronics
A2
Computer systems, parallel and high performance computing
A3
Computer security and distributed systems
A4
Computer networks, mobile computing, and telecommunications
B1
Algorithms and systems analysis
B2
Databases, information and knowledge management
B3
Software engineering and programming languages
B4
Artificial Intelligence and machine learning
C1
Signal processing and analysis
C2
Computer vision and robotics
C3
Computer graphics and human-computer interaction
C4
Βioinformatics, medical informatics, and computational neuroscience
The following pages contain tables (one for each course category) summarizing courses offered by the undergraduate studies program of the Computer Science Department at the University of Crete. Courses with code-names beginning with "MATH" or "PHYS" are taught by the Mathematics Department and Physics Department respectively at the University of Crete.