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dc.contributor.authorChen, HCen_US
dc.contributor.authorWang, SJen_US
dc.date.accessioned2014-12-08T15:25:55Z-
dc.date.available2014-12-08T15:25:55Z-
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/11536/18374-
dc.description.abstractIn this paper, we propose the use of visible color difference in a new quantitative evaluation scheme for color image segmentation. With visible color difference, two measurements, named intra-region visual error and inter-region visual error, are defined to evaluate the quality of segmentation results. To fit for human's visual perception, segmentation results with an excessive amount of intra-region error are regarded as under-segmentation, while segmentation results with too many inter-region errors are regarded as over-segmentation. Based on these two measurements, a complete scheme for the evaluation of color image segmentation is proposed. The simulation results demonstrate that this new scheme may provide a reliable and efficient way to automatically select the parameter settings for a given segmentation algorithm and to compare the performance between various segmentation algorithms.en_US
dc.language.isoen_USen_US
dc.titleThe use of visible color difference in the quantitative evaluation of color image segmentationen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PROCEEDINGS: IMAGE AND MULTIDIMENSIONAL SIGNAL PROCESSING SPECIAL SESSIONSen_US
dc.citation.spage593en_US
dc.citation.epage596en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000222177700149-
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