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Performance Evaluation of a Network-Based Shape Analysis Approach

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dc.contributor.advisorWeibo Gong
dc.contributor.authorYuan, Wenpeng
dc.contributor.departmentUniversity of Massachusetts Amherst
dc.contributor.departmentElectrical & Computer Engineering
dc.date2023-09-22T20:07:23.000
dc.date.accessioned2024-04-26T21:05:33Z
dc.date.available2009-08-14T00:00:00Z
dc.date.issued2009-01-01
dc.date.submitted2009-September
dc.description.abstractIn the field of image analysis in pattern recognition, shape is an important attribute to characterize graphical objects. It provides important information about an image. In the thesis, I proposed a new descriptor for image identification and classification, named Average Degree Descriptor. We did some experiments and compared its performance with Degree Descriptor. We also analyzed the Average Degree Descriptor theoretically, by comparing the data of distorted shapes and shapes of Kiki/Bouba. Since we also need to classify or identify some 3-dimension shapes in practical application, we proposed an approach to transform 3-dimension shapes to 2-dimension shapes. Moreover, we also studied the robustness of the proposed Average Degree Descriptor in random degradation. Results show that the proposed Average Degree Descriptor has good performance in image identification, even with random degradation.
dc.description.degreeMaster of Science in Electrical and Computer Engineering (M.S.E.C.E.)
dc.identifier.doihttps://doi.org/10.7275/941469
dc.identifier.urihttps://hdl.handle.net/20.500.14394/47004
dc.relation.urlhttps://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1418&context=theses&unstamped=1
dc.source.statuspublished
dc.subjectElectrical engineering
dc.subjectDegree Descriptor
dc.subjectShape Analysis
dc.subjectRobustness
dc.subjectOther Electrical and Computer Engineering
dc.subjectElectrical engineering
dc.titlePerformance Evaluation of a Network-Based Shape Analysis Approach
dc.typecampus
dc.typearticle
dc.typethesis
digcom.contributor.authorisAuthorOfPublication|email:yuanwenpeng@gmail.com|institution:University of Massachusetts Amherst|Yuan, Wenpeng
digcom.date.embargo2009-08-14T00:00:00-07:00
digcom.identifiertheses/333
digcom.identifier.contextkey941469
digcom.identifier.submissionpaththeses/333
dspace.entity.typePublication
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