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Fuzzy Bit-plane-dependence Image Segmentation

Choy, S. K., Yuen, Kevin, Yu, Carisa (2019) Fuzzy Bit-plane-dependence Image Segmentation. Signal Processing, 154 . pp. 30-44. ISSN 0165-1684. (doi:10.1016/j.sigpro.2018.08.010) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:97126)

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This paper presents a novel fuzzy bit-plane-dependence image segmentation methodology. We propose a probability model for characterizing the distributions of image variations based on bit-plane probabilities and dependencies between bit-planes. Compared with the current state-of-the-art image variation models which assume the distributions have specific structures (e.g., symmetry, monotone and periodicity), the proposed model provides a universal parametric representation that can be used to model random distributions without enforcing any specific restrictions on the distributions. In addition, we show that the maximum likelihood estimators of model parameters are joint sufficient statistics, which, in turn, justify the theoretical basis for their use. To effectively segment images with various textures, we propose a fuzzy bit-plane-dependence image segmentation algorithm. The proposed algorithm integrates the bit-plane-dependence probability model into the agglomerative fuzzy algorithm, and incorporates neighboring information and boundary correction for image segmentation applications. Experiments demonstrate the superior performance of the proposed method.

Item Type: Article
DOI/Identification number: 10.1016/j.sigpro.2018.08.010
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User: Kevin Yuen
Date Deposited: 28 Sep 2022 13:22 UTC
Last Modified: 29 Sep 2022 11:34 UTC
Resource URI: (The current URI for this page, for reference purposes)

University of Kent Author Information

Yuen, Kevin.

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