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205: Mathematical Image Processing and Analysis

 

Mathematical Image Processing and Analysis 

 

Faculty

Prof. Dionyssis Cavouras, Ass. Prof. Dimitris Gklotsos, Dr. Spyridon Kostopoulos

Content

Introduction (the computerized imaging system, image display process, the quality of the medical image, creation of microarray images, the discrete Fourier transform for image processing, properties of the DFT, convolution/correlation theorem)

Image enhancement (grey scale manipulation techniques, windowing techniques, histogram modification techniques, time domain image matrix manipulation techniques, image smoothing, image sharpening, frequency domain image enhancement, Butterworth filters, exponential filters, time against frequency domain image enhancement)

Image restoration (Wiener filter, power spectrum equalization or homomorphic filter, generalized Wiener filters)

Tomographic image reconstruction algorithms (the Fourier reconstruction algorithm, convolution/filter back-projection algorithm)

 

Objectives

To provide the MP students in-depth knowledge of the image processing concepts and methods used in medical images, with hands-on experience in developing algorithms in MATLAB.