Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWang, Junxian.en_US
dc.description.abstractWith the fast development of computer technology, computer vision has been widely exploited to recognize objects in various environments without human intervention. The tasks of object recognition system include identifying the ob-jects in the scene and determining the region occupied by these objects. Gen-erally, there are two factors that will influence the performance of the color object recognition: 1) the variation in environmental illuminations; 2) the ac-curacy of the extracted boundary of interesting regions and objects. Based on these two factors, in this thesis, research has been devoted on improving the performance of color object recognition by extracting illumination-invariant features and proposing novel color segmentation techniques. These novel color segmentation techniques involved two aspects: 1) from perceptually uniform color distance—measuring the color distance between each pixel and other ref-erence points, 2) from object material— computing the reflectance spectrum of object's surface.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing-
dc.titleIllumination-invariant color object recognition and novel color segmentation techniquesen_US
dc.contributor.supervisorMa, Kai-Kuangen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeDoctor of Philosophy (EEE)en_US
item.fulltextWith Fulltext-
Appears in Collections:EEE Theses
Files in This Item:
File Description SizeFormat 
  Restricted Access
19.59 MBAdobe PDFView/Open

Page view(s) 50

checked on Oct 28, 2020

Download(s) 50

checked on Oct 28, 2020

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.