To pass, the student should be able to
§ Explain fundamental notions on computerized image analysis, such as digitizing, image enhancement, segmentation and classification of features.
§ Describe fundamental notions on research ethics and methodology in image analysis.
§ Use software for solving image analysis problems.
§ Analyze and outline the steps necessary to solve a realistic image analysis problem in the student’s own research area.
§ Understanding when image analysis can be a solution to a specific problem and when it will probably fail.
§ Carry out a project on a specific problem in the student’s own research area.
Lectures, laboratory work, projects.
Approved laboratory work. Written exam. Oral and written project presentations.