2026-08-26T10:06:53Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4499 2022-03-24T23:12:26Z 1582963302567:1597824273898 user-ucsy

Image Matching for Image Labeling System Yu, May The` Sein, Myint Myint Interest in the potential of digital images hasincreased enormously over the last few years,fuelled at least in part by the rapid growth ofimaging on the World-Wide Web. Automaticallyassigning keywords to images is of great interestas it allows one to retrieve, index, and organizeand large collections of image data. Manytechniques have been proposed for imageannotation in the last decade that givesreasonable performance on standard datasets.However, most of these works fail to comparetheir methods with simple baseline techniques tojustify the need for complex models andsubsequent training. To segment input image, NCut algorithms are used in this system. In thispaper, the image database is created by usingsegmented parts of an image, nature scene,animals, vegetables, buildings and so on. 2012-02-28 http://hdl.handle.net/20.500.12678/0000004499 https://meral.edu.mm/records/4499