Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/43717
DC FieldValueLanguage
dc.contributor.authorLin, C.H.en_US
dc.contributor.author詹永寬zh_TW
dc.contributor.authorChan, Y.K.en_US
dc.contributor.authorChen, C.C.en_US
dc.date2009zh_TW
dc.date.accessioned2014-06-06T08:11:25Z-
dc.date.available2014-06-06T08:11:25Z-
dc.identifier.issn0899-9457zh_TW
dc.identifier.urihttp://hdl.handle.net/11455/43717-
dc.description.abstractThis article alms to develop a method for the detection and segmentation of a cytoplast and nucleus from a cervix smear image. First, the technique of equalization method with Gaussian filter is adopted to eliminate noise in the image. Second. a new edge enhancement technique is proposed to work out the coarseness of each pixel, which is later used as a determining characteristic of reinforced object images. A two-group object enhancement technique is then used to reinforce this object according to rough pixels. Third, the proposed detector enhances the gradients of the edges of the cytoplast and nucleus while suppressing the noise gradients, and then specifies the pixels with higher gradients as possible edge pixels. Finally, it picks out the two longest closed curves constructed by part of the edge pixels. Detection and segmentation performance of the proposed method is later compared with seed region growing feature extraction and level set method using 10 cervix smear images as example. Besides comparing the contour segment of the cytoplast and nucleus obtained by using different methods, we also compare the quality of the segmentation results. Experimental results show that the proposed detector demonstrates an impressive performance. (C) 2009 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 19, 260-270, 2009 Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.20198en_US
dc.language.isoen_USzh_TW
dc.relationInternational Journal of Imaging Systems and Technologyen_US
dc.relation.ispartofseriesInternational Journal of Imaging Systems and Technology, Volume 19, Issue 3, Page(s) 260-270.en_US
dc.relation.urihttp://dx.doi.org/10.1002/ima.20198en_US
dc.subjectcervical smear screeningen_US
dc.subjectlevel seten_US
dc.subjectcoarseen_US
dc.subjecttwo-groupen_US
dc.subjectedge detectionen_US
dc.subjectthinningen_US
dc.subjectactive contour modelen_US
dc.subjectimage segmentationen_US
dc.subjectcortexen_US
dc.titleDetection and Segmentation of Cervical Cell Cytoplast and Nucleusen_US
dc.typeJournal Articlezh_TW
dc.identifier.doi10.1002/ima.20198zh_TW
item.cerifentitytypePublications-
item.grantfulltextnone-
item.languageiso639-1en_US-
item.fulltextno fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeJournal Article-
Appears in Collections:資訊管理學系
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