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An efficient parameterless quadrilateral-based image segmentation method.
IEEE Trans Pattern Anal Mach Intell. 2005 Sep; 27(9):1446-58.IT

Abstract

This paper proposes a general quadrilateral-based framework for image segmentation, in which quadrilaterals are first constructed from an edge map, where neighboring quadrilaterals with similar features of interest are then merged together to form regions. Under the proposed framework, the quadrilaterals enable the elimination of local variations and unnecessary details for merging from which each segmented region is accurately and completely described by a set of quadrilaterals. To illustrate the effectiveness of the proposed framework, we derived an efficient and high-performance parameterless quadrilateral-based segmentation algorithm from the framework. The proposed algorithm shows that the regions obtained under the framework are segmented into multiple levels of quadrilaterals that accurately represent the regions without severely over or undersegmenting them. When evaluated objectively and subjectively, the proposed algorithm performs better than three other segmentation techniques, namely, seeded region growing, K-means clustering and constrained gravitational clustering, and offers an efficient description of the segmented objects conducive to content-based applications.

Authors+Show Affiliations

Chung RH
Department of Computer Science, The University of Hong Kong, Room 425, Chow Yei Ching Bldg., Pokfulam Road, Hong Kong. hychung@cs.hku.hk
Yung NH
No affiliation info available
Cheung PY
No affiliation info available

MeSH

AlgorithmsArtificial IntelligenceComputer GraphicsImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalInformation Storage and RetrievalNumerical Analysis, Computer-AssistedPattern Recognition, AutomatedSignal Processing, Computer-AssistedSubtraction Technique

Pub Type(s)

Evaluation Study
Journal Article

Language

eng

PubMed ID

16173187

Citation

Chung, Ronald H Y., et al. "An Efficient Parameterless Quadrilateral-based Image Segmentation Method." IEEE Transactions On Pattern Analysis and Machine Intelligence, vol. 27, no. 9, 2005, pp. 1446-58.
Chung RH, Yung NH, Cheung PY. An efficient parameterless quadrilateral-based image segmentation method. IEEE Trans Pattern Anal Mach Intell. 2005;27(9):1446-58.
Chung, R. H., Yung, N. H., & Cheung, P. Y. (2005). An efficient parameterless quadrilateral-based image segmentation method. IEEE Transactions On Pattern Analysis and Machine Intelligence, 27(9), 1446-58.
Chung RH, Yung NH, Cheung PY. An Efficient Parameterless Quadrilateral-based Image Segmentation Method. IEEE Trans Pattern Anal Mach Intell. 2005;27(9):1446-58. PubMed PMID: 16173187.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - An efficient parameterless quadrilateral-based image segmentation method. AU - Chung,Ronald H Y, AU - Yung,Nelson H C, AU - Cheung,Paul Y S, PY - 2005/9/22/pubmed PY - 2005/10/13/medline PY - 2005/9/22/entrez SP - 1446 EP - 58 JF - IEEE transactions on pattern analysis and machine intelligence JO - IEEE Trans Pattern Anal Mach Intell VL - 27 IS - 9 N2 - This paper proposes a general quadrilateral-based framework for image segmentation, in which quadrilaterals are first constructed from an edge map, where neighboring quadrilaterals with similar features of interest are then merged together to form regions. Under the proposed framework, the quadrilaterals enable the elimination of local variations and unnecessary details for merging from which each segmented region is accurately and completely described by a set of quadrilaterals. To illustrate the effectiveness of the proposed framework, we derived an efficient and high-performance parameterless quadrilateral-based segmentation algorithm from the framework. The proposed algorithm shows that the regions obtained under the framework are segmented into multiple levels of quadrilaterals that accurately represent the regions without severely over or undersegmenting them. When evaluated objectively and subjectively, the proposed algorithm performs better than three other segmentation techniques, namely, seeded region growing, K-means clustering and constrained gravitational clustering, and offers an efficient description of the segmented objects conducive to content-based applications. SN - 0162-8828 UR - https://www.unboundmedicine.com/medline/citation/16173187/An_efficient_parameterless_quadrilateral_based_image_segmentation_method_ DB - PRIME DP - Unbound Medicine ER -