Seminars and Events - Research Colloquia

Special Colloquia, Department of Statistics

Friday, January 31, 2003
4:30 PM in REC 112

Mr. Johan Lim
Stanford University

will speak on

Image Segmentation with Hidden Markov Model

Abstract

Image segmentation (i.e., partitioning an input image into several homogeneous regions) is a crucial preliminary phase in many practical applications. Adopting the model with spatial interactions, several authors recently proposed simultaneous classification and segmentation procedures through which smooth boundaries were obtained. Among these models, the Hidden Markov Model (HMM) is the most popular. Several important statistical issues, which have been often overlooked in practice, arise when segmenting an image using the HMM. We address these issues and discuss the insights they provide for more complex HMMs in other applications. In particular, a theory of estimation in general HMMs will be presented.