Boundary Refinements for Wavelet-Domain Multiscale
Etai Mor, Mayer Aladjem
Department of Electrical and Computer Engineering
Ben-Gurion University of the Negev
P.O.Box 653, Beer-Sheva, 84105, Israel.
Email: firstname.lastname@example.org, email@example.com
We propose a method based on the Hidden Markov Tree (HMT) model for multiscale
image segmentation in the wavelet domain. We use the inherent tree structure of the
model to segment the image at a range of different scales. We then merge these
different scale segmented images using boundary refinement conditions. The final
segmented image utilizes the reliability of coarse scale segmented images and the
fineness of finer scales segmented images. We demonstrate the performance of the
algorithm on synthetic data and aerial photos.
Keywords: Hidden markov models; wavelets; boundary refinements; texture segmentation