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Image matching and retrieval system using object shape and structure

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dc.contributor.author Anwer, Shahid r
dc.contributor.author Mehmood, Nasir
dc.contributor.author Aurangzeb, Ali
dc.contributor.author Khizar, Ahmed
dc.contributor.author Supervised by Naveed Sarfraz Khan Khattak
dc.contributor.author Supervised by Fazal Ahmed
dc.date.accessioned 2020-10-29T05:04:35Z
dc.date.available 2020-10-29T05:04:35Z
dc.date.issued 2004-04
dc.identifier.other PTE-102
dc.identifier.other TEE-37
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/7566
dc.description.abstract This project works on the use of shape features for content-based image retrieval. Edges, lines, corners, and straight ribbons have been extracted from a query image. These features and their attributes, along with various relations are than used to match representations of other images in a database. Our project is mainly based upon the work done by Naveed Sarfraz Khan Khattak and is the continuity of his area of research. He developed his algorithms in MATLAB. We continued upon his work by improving the edge detection and line detection techniques. The better line detection has led to better corner and ribbon detection thus improving our work tremendously. As the project has been implemented in Visual C++ so we have the added advantage of fast processing. en_US
dc.language.iso en en_US
dc.publisher MCS en_US
dc.title Image matching and retrieval system using object shape and structure en_US
dc.type Technical Report en_US


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