Computer Vision

Description

Learning outcomes and development goals: MK2 L Advanced and up-to-date scientific-disciplinary knowledge and understanding in the field of Electronics and ICT Engineering Technology: Electronic, Information processing and Communication Systems MI1 L Problem analysis and solving MI2 L Design and/or development MMI2 V Creative and innovative attitude I3 L Application-oriented research MG5 V Lifelong learning Objectives: * Image processing and interpretation: theory Goals: - The student acquires sufficient profound knowledge and insight into various image processing algorithms, [MK2] - The student can estimate the hardware and computational power sequences of the image processing algorithms, [MI1, MI2] - The student must be creative and can reflect critically in the modeling and describing of the image processing algorithms [MI1, MI2] - The student must be creative and able to interpret critically the simulation results of the image processing algorithms [MI1, MI2] - provide students with insight into state-of-the-art image processing techniques, allowing intelligent interpretations of images coming from a camera [MK1, MI1, MI2] - Apply general mathematical and programmative principles [MK2, MI1] - broaden the area of ​​interest in image processing and related techniques [MG5] - Overview of the research activities on image processing [MI3, MG5] Learning outcomes: MK2: Have sufficient knowledge and insight MI1: Analyzing and solving problems MI2: Designing and / or developing MK2: Have sufficient knowledge and insight MI1: Analyzing and solving problems MI2: Designing and / or developing MI3: Application-oriented investigations MG5: Professionalism * Image interpretation: Lab Goals: - using the programming language C/C ++ or Python, and practicing the OpenCV library [MI2] - The student can estimate the hardware and computational power sequences of the image processing algorithms, [MI1, MI2] - apply the concepts of the theory lessons 'image interpretation' to concrete problems [MK2] - independence to manage a large software application [MI3] - The student must be creative and can reflect critically in modeling and describing the image processing slgorithms using openCV [MI1, MI2] - The student must be creative and can interpret critically when visualizing in OpenCV the simulation results of the image and speech processing algorithms [MI1, MI2] - The student can draw up a structured and efficient C ++ code [MI1] - The student must be self-reliant when using various OpenCV functions and the interpretation of their parameters, [MI1, MI2] - The student must be result oriented and can demonstrate the image processing concepts [MI1, MI2] Learning outcomes: MK2: Have sufficient knowledge and insight MI1: Analyzing and solving problems MI2: Designing and / or developing MI3: Application-oriented investigations