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Conference Paper: An iterative image segmentation algorithm utilizing spatial information

TitleAn iterative image segmentation algorithm utilizing spatial information
Authors
KeywordsComputers
Issue Date1996
PublisherIEEE.
Citation
IEEE Region 10 Digital Signal Processing Applications Proceedings, Perth, Western Australia, 26-29 November 1996, v. 1, p. 141-146 How to Cite?
AbstractAn iterative image segmentation algorithm that segments an image on a pixel-by-pixel basis is described. The observation information to be utilized is the joint gray level values of the pixel to be segmented and those of its neighborhood pixels. The iterative process is initialized by thresholding the image with Otsu's (1979) method. Each pixel is segmented into a class when the a posteriori probability, conditioned on the observation information, that it belongs to this class is a maximum. The newly segmented image is employed to re-estimate the a posteriori probabilities and the segmentation process is repeated until there is no further pixel classification change in a particular run. Among those segmented images generated in the iterative process, the best segmented image is chosen, according to a maximum entropy criterion. Simulation studies demonstrate that the proposed algorithm can achieve very significant improvement in segmentation performance as compared to the more popular thresholds approach. Furthermore, the performance is neither sensitive to the initial threshold value nor the form of the probability density function of the image. Segmentation of practical images also demonstrates that the proposed algorithm is capable of good segmentation results for real-life images.
Persistent Identifierhttp://hdl.handle.net/10722/46009
ISSN

 

DC FieldValueLanguage
dc.contributor.authorLeung, CKen_HK
dc.contributor.authorLam, FKen_HK
dc.date.accessioned2007-10-30T06:40:33Z-
dc.date.available2007-10-30T06:40:33Z-
dc.date.issued1996en_HK
dc.identifier.citationIEEE Region 10 Digital Signal Processing Applications Proceedings, Perth, Western Australia, 26-29 November 1996, v. 1, p. 141-146en_HK
dc.identifier.issn0886-1420en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46009-
dc.description.abstractAn iterative image segmentation algorithm that segments an image on a pixel-by-pixel basis is described. The observation information to be utilized is the joint gray level values of the pixel to be segmented and those of its neighborhood pixels. The iterative process is initialized by thresholding the image with Otsu's (1979) method. Each pixel is segmented into a class when the a posteriori probability, conditioned on the observation information, that it belongs to this class is a maximum. The newly segmented image is employed to re-estimate the a posteriori probabilities and the segmentation process is repeated until there is no further pixel classification change in a particular run. Among those segmented images generated in the iterative process, the best segmented image is chosen, according to a maximum entropy criterion. Simulation studies demonstrate that the proposed algorithm can achieve very significant improvement in segmentation performance as compared to the more popular thresholds approach. Furthermore, the performance is neither sensitive to the initial threshold value nor the form of the probability density function of the image. Segmentation of practical images also demonstrates that the proposed algorithm is capable of good segmentation results for real-life images.en_HK
dc.format.extent577176 bytes-
dc.format.extent8841 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.subjectComputersen_HK
dc.titleAn iterative image segmentation algorithm utilizing spatial informationen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0886-1420&volume=1&spage=141&epage=146&date=1996&atitle=An+iterative+image+segmentation+algorithm+utilizing+spatial+informationen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/TENCON.1996.608736en_HK
dc.identifier.hkuros27159-

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