Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/39088
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dc.contributor.authorZhou, Haoen
dc.date.accessioned2010-05-21T04:40:40Zen
dc.date.available2010-05-21T04:40:40Zen
dc.date.copyright2007en
dc.date.issued2007en
dc.identifier.citationZhou, H. (2007). Learning-based mathematical morphology in color image processing. Master’s thesis, Nanyang Technological University, Singapore.en
dc.identifier.urihttps://hdl.handle.net/10356/39088en
dc.description125 p.en
dc.description.abstractMathematical Morphology is a powerful nonlinear image processing tool and is widely used in image processing and analysis areas. Most of the morphological operations based image processing approaches are developed for binary and grayscale images. Nowadays, color image has become the dominant image format and contains more information than monochrome images. Extending mathematical morphology to color image attracts more interests recent years.en
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen
dc.titleLearning-based mathematical morphology in color image processingen
dc.typeThesisen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.description.degreeMASTER OF ENGINEERING (EEE)en
dc.identifier.doi10.32657/10356/39088en
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Appears in Collections:EEE Theses
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