Tutorial III: Image Processing and Analysis with Matlab

Matlab is an extremely useful tool during the development and testing of a wide variety of applications. With built in ready-to-use functions that have been optimized for fast execution, and easy access to toolboxes and user generated contributions, it is possible to quickly implement and test various approaches before committing to a single one during the research and development process. In addition, if used properly, Matlab's graphical user interface (GUI) and display functions can help visualize your data without spending hours coding in more complex languages and still retain the complexity provided by these alternatives. This workshop will address using Matlab, Matlab Toolboxes and user contributed functions specifically with respect to image processing, analysis and display. We will review which related functions are included in Matlab, how to use them properly, and what the limitations of these functions are. We will also go over some strategies for implementing your own functions, identifying bottlenecks, and some suggestions on how to use the GUI and related functions to present your data. Examples of Matlab code used in the development of a deep vein thrombosis screening system will be presented. It is expected that participants will be somewhat familiar with coding in Matlab, and have an interest in image processing and analysis.