Biomedical Image Analysis

Introduction to digital image processing and analysis with applications in biomedicine. Digital image representation and synthesis. Image sampling and regions of interest. Geometric transformations. Operators. Global and local intensity transformations. Convolution, filters, two-dimensional discrete Fourier transform, and discrete wavelet transform. Morphological transformations. Introduction to color image processing, color theory and color spaces. Image enhancement, segmentation and compression algorithms. Color, texture ad shape feature extraction algorithms. Saliency and object detection algorithms. Applications on various kinds of biomedical images, including endoscopic, ultrasound, x-ray, tomography and DNA microarray images.

• Comprehension of the main concepts of image processing and analysis.
• Learning the mathematical formalism and the main filters/operators processing and analysis.
• Acquiring abilities to implement algorithms for processing and analysis of biomedical images.
• Analyzing relevant problems and selection of the proper filters/operators.
• Understanding the requirements specific to processing and analysis of biomedical images.

• Ψηφιακή Επεξεργασία Εικόνας, 4η Έκδοση, Gonzales, Στέφανος Κόλλιας (επιμέλεια), “ΕΚΔΟΣΕΙΣ Α. ΤΖΙΟΛΑ & ΥΙΟΙ Α.Ε.”, 4η/2018 , ΘΕΣ/ΝΙΚΗ, 68384821
• Ψηφιακή Επεξεργασία και Ανάλυση Εικόνας,  Νικόλαος Παπαμάρκος, ΑΦΟΙ ΠΑΠΑΜΑΡΚΟΥ Ο.Ε. , 3η/2013, ΑΘΗΝΑ, 68372511
• Ψηφιακή Επεξεργασία Εικόνας, ΙΩΑΝΝΗΣ ΠΗΤΑΣ, “Ε.&Δ.ΑΝΙΚΟΥΛΑ-Ι.ΑΛΕΞΙΚΟΣ ΟΕ”, 4η/2010, ΘΕΣ/ΝΙΚΗ, 68398652

Written examinations at the end of the semester Submission of laboratory exercises Laboratory examination