Image Analysis and Recognition with Learning

Catalog description

This class will start with a study of the basic color image models. Next, the students will learn how to decompose a function to Wavelets. In the following stage the students will learn the basic methods for image segmentation to objects and background. The students will have a knowledge on image segmentation with active contours using deep learning. Further they will learn about images and objects representation and description. The students will know methods from two major approaches: boundary and regions description. The following methods will be taught from the field of Recognition: Decision making; structural methods; features extraction and classification with convolutional neural networks. The students will develop skills in programming, reporting and presenting advanced method from Prerequisites: CSCI 513 or CSCI 515 . Crosslisted with: MATH 569 .