The main goal is to give a basic understanding of the theory and practice image processing and its application to a number of case studies. Principle concepts like image acquisition, digital images, digital filters, local and global operators and segmentation techniques and their practical application should be learned.
What are the basic concepts of Image Processing and how are they used in different Applications? The course tries to answer these questions by describing the creation of digital images using digital cameras and the subsequent steps in order to derive information kept in digital images automatically. The starting point are digital images and their creation. Then a closer look is taken into classical image processing techniques like image enhancement and compression. The next step consists in the development of digital filters and segmentation techniques in order to be able to extract specific information. Using examples in applications the courses tries to show the basic concepts, basic problems and simple solutions and typical fields of applications of image processing. Previous knowledge in the area of image processing is not required, however a basic mathematical understanding is necessary. The work in the exercise group consists of attending an excursion and the description of the problems and the solutions in this image processing application, or alternatively in solving a specific problem of image processing in a lab exercise. At the end of the semester the results of the work in the group should be presented orally and in a written report.
ECTS Breakdown: 3 ECTS = 75h
9h Lectures 5h Excursion 6h Excursion group meetings 1.5h Presentations of all groups 52h Preparation for written exam 1.5h Written exam-----75h
