DA 529 Introduction to Computer Vision
This course introduces the fundamentals of major topics of Computer vision. The topics covered throughout the course include image filtering, thresholding, morphology and segmentation, edge detection, texture and shape analysis, basic image classification and the preliminaries of machine learning applications. Computer projects (involving student choice of either Python, MATLAB or C++) and technical reports will be undertaken to practice and demonstrate these concepts.