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) : Hansen,F R ; Elliott,H

PDF Url : ADA112914

Report Date : Oct 1981

Pagination or Media Count : 44

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)

Descriptors :   *Image processing, *Images, *Segmented, *Markov processes, mathematical logic, Estimates, Computations, Algorithms, Signal to noise ratio, Noise, Intensity, Tractable, Multispectral, Optimization, Sequences(Mathematics), Models, Pictures, Probability, Transitions

Subject Categories : Statistics and Probability
      Optics

Distribution Statement : APPROVED FOR PUBLIC RELEASE