Image Processing and Computer Vision in MATLAB and Simulink

With decreasing hardware costs and increasing resolutions, cameras and other imaging technologies are more popular than ever as rich sources of sensory data. Your application may range from traditional image analysis to an advanced embedded system that makes sense of gigabits of data in real time. In this session, Joss shows you how you can use MATLAB^® and Simulink^® to tackle a variety of problems including:

• Analysing medical scans to identify key structures
• Fusing images from multiple devices or viewpoints
• Optical character recognition for reading dashboard displays or number plates
• Using multiple images to compute the range to nearby obstacles
• Lane tracking for advanced driver assist using embedded hardware
• Tracking and recognising road signs in real time