MODEL-FITTING APPROACH TO CLUSTER VALIDATION WITH APPLICATION TO STOCHASTIC MODEL-BASED IMAGE SEGMENTATION.

J. Zhang, J. W. Modestino

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

A model-fitting approach to the cluster validation problem based upon Akaike's information criterion (AIC) is proposed. The explicit evaluation of the AIC for the image segmentation problem is achieved through an approximate maximum-likelihood-estimation algorithm. The efficacy of the proposed approach is demonstrated through experimental results for both synthetic mixture data, where the number of clusters is known, and stochastic model-based image segmentation operating on real-world images, for which the number of clusters is unknown. This approach is shown to correctly identify the known number of clusters in the synthetically generated data and to result in good subjective segmentations in aerial photographs.

Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherIEEE
Pages1148-1151
Number of pages4
StatePublished - 1988

Fingerprint

Stochastic models
Image segmentation
Maximum likelihood estimation
Antennas
photographs
evaluation

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

Cite this

Zhang, J., & Modestino, J. W. (1988). MODEL-FITTING APPROACH TO CLUSTER VALIDATION WITH APPLICATION TO STOCHASTIC MODEL-BASED IMAGE SEGMENTATION. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 1148-1151). IEEE.

MODEL-FITTING APPROACH TO CLUSTER VALIDATION WITH APPLICATION TO STOCHASTIC MODEL-BASED IMAGE SEGMENTATION. / Zhang, J.; Modestino, J. W.

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. IEEE, 1988. p. 1148-1151.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhang, J & Modestino, JW 1988, MODEL-FITTING APPROACH TO CLUSTER VALIDATION WITH APPLICATION TO STOCHASTIC MODEL-BASED IMAGE SEGMENTATION. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. IEEE, pp. 1148-1151.
Zhang J, Modestino JW. MODEL-FITTING APPROACH TO CLUSTER VALIDATION WITH APPLICATION TO STOCHASTIC MODEL-BASED IMAGE SEGMENTATION. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. IEEE. 1988. p. 1148-1151
Zhang, J. ; Modestino, J. W. / MODEL-FITTING APPROACH TO CLUSTER VALIDATION WITH APPLICATION TO STOCHASTIC MODEL-BASED IMAGE SEGMENTATION. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. IEEE, 1988. pp. 1148-1151
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