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