Description
Code: (550452)
Theoretical-practical undergraduate subject (fourth year) that provides the basic fundamentals in the conceptual, theoretical and practical aspects of the processing of biomedical images. It trains the students in the theoretical and practical knowledge of biomedical image processing tools, making her or him develop practical skills in the understanding, formulation and solution of problems, to support the diagnosis based on images. The practical classes are in MATLAB language, but the students can also develop them in Python language if they wish to do so.
Contents
Types of images
Histograms
Filtering in the time domain
Types of filters
Types of noise
Linear and non-linear filters
Filters in the frequency domain
2D Fourier Transform
Correlation
Image segmentation
Main methods and applications
Medical images and applications
X-rays, Magnetic Resonance, Nuclear Medicine, Ultrasound
Website to experience the differents operators online: http://homepages.inf.ed.ac.uk/rbf/HIPR2/fulldemo.htm
A basic DIP tutorial: http://www.tutorialspoint.com/dip/
Digital Image Processing course at Stanford University: http://web.stanford.edu/class/ee368/handouts.html