Prentice Hall, ISBN: 0201180758, 2nd edition, 2002. MTE-4xx MACHINE VISION Course Objective To equip the students with advanced vision systems for interactive systems using advanced image processing techniques. Course Contents Introduction to machine vision, image processing tools and techniques, Hough Transform, Morphological operators, Edge detection, Image Segmentation, 3D vision, Shape description and modelling, Geometry of projection and co-ordinate transformations, Surface reconstruction, Recognizing and tracking objects, Recognizing activities and events, Image registration, Texture analysis, Applications of machine vision. Recommended Books Image Processing, Analysis, and Machine Vision by Milan Sonka, Vaclav Hlavac and Roger Boyle, 2014 Digital Image Processing Using Matlab by Rafael C. Gonzalez and Richard E. Woods, Pearson Education, 2004 MTE-3xx Introduction to System Engineering Course Objectives This course provides an introduction to the processes and methods that are used by systems engineering teams in order to achieve a successful outcome on complex systems projects from their conception through to ultimate disposal. The course also explores the management challenges of systems engineering, considering the business context within which projects are undertaken. The methods covered are applicable to the management of complex engineering projects in a wide range of sectors such as aircraft, space, rail, automotive, marine, defense, information technology and civil engineering. Topics Covered Introduction to Systems, Systems Engineering Common Problems in Systems Projects Requirements, designing the system and sub-system development Systems Engineering Lifecycles and Processes Integration, verification and validation Support and disposal Managing design integrity Systems engineering management Organising for Effective Systems Engineering Understanding and Dealing with Systems
Prentice Hall, ISBN: 0201180758, 2nd edition, 2002. MTE-4xx MACHINE VISION Course Objective To equip the students with advanced vision systems for interactive systems using advanced image processing techniques. Course Contents Introduction to machine vision, image processing tools and techniques, Hough Transform, Morphological operators, Edge detection, Image Segmentation, 3D vision, Shape description and modelling, Geometry of projection and co-ordinate transformations, Surface reconstruction, Recognizing and tracking objects, Recognizing activities and events, Image registration, Texture analysis, Applications of machine vision. Recommended Books Image Processing, Analysis, and Machine Vision by Milan Sonka, Vaclav Hlavac and Roger Boyle, 2014 Digital Image Processing Using Matlab by Rafael C. Gonzalez and Richard E. Woods, Pearson Education, 2004 MTE-3xx Introduction to System Engineering Course Objectives This course provides an introduction to the processes and methods that are used by systems engineering teams in order to achieve a successful outcome on complex systems projects from their conception through to ultimate disposal. The course also explores the management challenges of systems engineering, considering the business context within which projects are undertaken. The methods covered are applicable to the management of complex engineering projects in a wide range of sectors such as aircraft, space, rail, automotive, marine, defense, information technology and civil engineering. Topics Covered Introduction to Systems, Systems Engineering Common Problems in Systems Projects Requirements, designing the system and sub-system development Systems Engineering Lifecycles and Processes Integration, verification and validation Support and disposal Managing design integrity Systems engineering management Organising for Effective Systems Engineering Understanding and Dealing with Systems