Representing and matching multi-object images with holes using concavity trees - by Bilal Hadi Fadlallah

dc.contributor.authorFadlallah, Bilal Hadi
dc.contributor.departmentDepartment of Electrical and Computer Engineering
dc.contributor.facultyFaculty of Engineering and Architecture
dc.contributor.institutionAmerican University of Beirut
dc.date2008
dc.date.accessioned2012-06-13T07:14:17Z
dc.date.available2012-06-13T07:14:17Z
dc.date.issued2008
dc.descriptionThesis (M.E.)--American University of Beirut, Dept. of Electrical and Computer Engineering, 2008.;"Advisor : Dr. Mohamad Adnan Al-Aloui, Professor, Department of Electrical and Computer Engineering--Member of Committee : Dr. Karim Kabalan, Professor ,Depa
dc.descriptionBibliography : leaves 75-76
dc.description.abstractConcavity trees are data structures used to represent 2-D images based on their meta-concavities and convex hulls. They help compressing the size of bi-level im ages and are efficient in the process of image matching, a task required in many areas of patt
dc.format.extentxiv, 76 leaves : col. ill. 30 cm.
dc.identifier.urihttp://hdl.handle.net/10938/7811
dc.language.isoen
dc.relation.ispartofTheses, Dissertations, and Projects
dc.subject.classificationET:005083 AUBNO
dc.subject.lcshPattern perception
dc.subject.lcshImage processing
dc.subject.lcshAlgorithms -- Data processing
dc.titleRepresenting and matching multi-object images with holes using concavity trees - by Bilal Hadi Fadlallah
dc.typeThesis

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