Publications [#339000] of Lawrence Carin

Papers Published

1. Lu, J; Carin, L, HMM-based multiresolution image segmentation, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 4 (January, 2002), pp. IV/3357-IV/3360, Orlando, FL, USA [ICASSP.2002.1004631], [doi]
   (last updated on 2024/12/31)

   Abstract:
   A texture segmentation algorithm is developed, utilizing a wavelet-based multi-resolution analysis of general imagery. The wavelet analysis yields a set of quadtrees, each composed of high-high (HH), high-low (HL) and low-high (LH) wavelet coefficients. Hidden Markov trees (HMTs) are designed for the quadtrees. For a given texture we define a set of "hidden" states, and a hidden Markov model (HMM) is developed to characterize the statistics of a given quadtree with respect to the statistics of surrounding quadtrees. Each HMM state is characterized by a unique set of HMTs. An HMM-HMT model is developed for each texture of interest, with which image segmentation is achieved. Several numerical examples are presented to demonstrate the model, with comparisons to alternative approaches.

   Keywords:
   hidden Markov models;image resolution;image segmentation;image texture;quadtrees;wavelet transforms;