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An image retrieval system based on identifying objects of interest - by Firas Hussein Hassan
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| dc.contributor.author | Hassan, Firas Hussein |
| dc.date.accessioned | 2012-06-13T07:07:15Z |
| dc.date.available | 2012-06-13T07:07:15Z |
| dc.date.issued | 2003 |
| dc.identifier.uri | http://hdl.handle.net/10938/6505 |
| dc.description | Thesis (M.E)--Dept. of Electrical and Computer Engineering, AUB, 2003;"Advisor: Dr. Hassan Artail, Assistant Professor, Electrical and Computer Engineering.--Member of Committee: Dr. Adnan Al-Alaoui, Professor, Electrical and Computer Engineering.--Member |
| dc.description | Bibliography : leaves 52-53. |
| dc.description.abstract | This paper presents a content based indexing and retrieval mechanism based on in dentifying the object of interest (OOI) in an image. The mechanism is capable of retrieving images independent of the position, size and rotation of their OOIs. We took advan |
| dc.format.extent | xii, 53 leaves : ill. 30 cm. |
| dc.language.iso | eng |
| dc.relation.ispartof | Theses, Dissertations, and Projects |
| dc.subject.classification | ET:004430 AUBNO |
| dc.subject.lcsh | Image processing -- Digital techniques -- Databases |
| dc.subject.lcsh | Indexing |
| dc.subject.lcsh | Wavelets (Mathematics) |
| dc.title | An image retrieval system based on identifying objects of interest - by Firas Hussein Hassan |
| dc.type | Thesis |
| dc.contributor.department | American University of Beirut. Faculty of Engineering and Architecture. Department of Electrical and Computer Engineering |
