13D041OPMV - Selected Topics in Machine Vision

Course specification
Course title Selected Topics in Machine Vision
Acronym 13D041OPMV
Study programme Electrical Engineering and Computing
Type of study doctoral studies
Lecturer (for classes)
Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
      ESPB 9.0 Status elective
      Condition Passed exam in subject Digital Image Processing on undergraduate academic studies.
      The goal The goal of this course is to familiarize students with modern achievements in machine vision, and to qualify them for scientific research in this field.
      The outcome The students will be qualified for use of modern development environments, advanced hardware platforms, analysis and improvement of methods, development and realization of complex machine vision systems and conducting scientific research in this field.
      Contents of lectures Advanced systems for image acquisition and processing. Hardware platforms and sensors for image acquisition and processing. High speed Imaging. High speed illumination. Structural illumination. Microscopic systems. Methods and systems for 3D imaging. 2D and 3D calibration. Application of standard image processing methods in machine vision. Advanced image processing methods used in machine vision.
      Contents of exercises
      1. Durini D., 2014. High Performance Silicon Imaging: Fundamentals and Applications of CMOS and CCD sensors. Woodhead Publishing. (Original title)
      2. Farinella, G.M., Battiato, S. and Cipolla, R., 2013. Advanced Topics in Computer Vision. Springer London. (Original title)
      3. Sonka, M., Hlavac, V. and Boyle, R., 2014. Image processing, analysis, and machine vision. Cengage Learning. (Original title)
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      Methods of teaching Lectures, consultations. Student projects.
      Knowledge score (maximum points 100)
      Pre obligations Points Final exam Points
      Activites during lectures Test paper
      Practical lessons Oral examination 30
      Seminars 70