Electrical & Computer Engin 697SP - ST-Statistical Image Processng

The aim of the course is to provide a basic knowledge of how to use probabilistic and statistical methods for image analysis. Core subjects in the course are pattern recognition and spatial/spectral statistics applied to 2D/3D images. Examples are taken from remote sensing, microscopy, photography and medical imaging. In the course special interest will be devoted to applications in remote sensing, including analysis of images of planetary surfaces. Examples of research topics that will be covered include image texture recognition, image classification and regression.

Open to Graduate students only.