Mixture Models for Image Representation

1996

Technical Report

ps

We consider the estimation of local greylevel image structure in terms of a layered representation. This type of representation has recently been successfully used to segment various objects from clutter using either optical ow or stereo disparity information. We argue that the same type of representation is useful for greylevel data in that it allows for the estimation of properties for each of several different components without prior segmentation. Our emphasis in this paper is on the process used to extract such a layered representation from a given image In particular we consider a variant of the EM algorithm for the estimation of the layered model and consider a novel technique for choosing the number of layers to use. We briefly consider the use of a simple version of this approach for image segmentation and suggest two potential applications to the ARK project

@techreport{JespsonTR1996,
  title = {Mixture Models for Image Representation},
  author = {Jepson, A.D. and Black, M.J.},
  institution = {PRECARN ARK Project Technical Report ARK96-PUB-54},
  month = mar,
  year = {1996},
  month_numeric = {3}
}