Accession Number:

ADA112914

Title:

Image Segmentation Using Simple Markov Field Models.

Descriptive Note:

Final rept.,

Corporate Author:

COLORADO STATE UNIV FORT COLLINS DEPT OF ELECTRICAL ENGINEERING

Personal Author(s):

Report Date:

1981-10-01

Pagination or Media Count:

44.0

Abstract:

By modelling a picture as a two-state Markov field, MAP estimation techniques are used to develop suboptimal but computationally tractable binary segmentation algorithms. The algorithms are shown to perform well at low signal to noise ratios, and analytical procedures are developed for estimating the Markov field transition probabilities. In addition, extensions of this approach to the multi-spectral and multi-region cases are discussed. Author

Subject Categories:

  • Statistics and Probability
  • Optics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE