Institute of Science and Technology · Computer Science and Engineering (%30 English) · Doctorate
Course Objective
This course provides the student with the theoretical and practical knowledge to apply various techniques for image processing . It includes processing of multidimensional data such as images and videos. The types of problems students are expected to solve are image segmentation, information extraction, object detection, image filtering, feature extraction etc.
Course Content
The course aims to describe theories, algorithms, and practical solutions of digital image processing. The main topics of the course include image perception, acquisition, color representation, quantization, transform, enhancement, filtering, multi-spectral processing, analysis, feature extraction, segmentation, morphological transformation, object detection and recognition.
Course Learning Outcomes
- Able to be conversant with the mathematical description of image processing techniques and know-how to go from the equations to code.
- Able to gain experience and practical techniques to write programs using MATLAB language for digital manipulation of images.
- Able to develop a theoretical foundation of fundamental Digital Image Processing concepts.
- Learn mathematical foundations for digital manipulation of images.
- Able to explain how digital images are represented and manipulated in a computer, including reading and writing from storage, and displaying.
- Gain experience in applying image processing algorithms to real problems