Kamel, Kamelia
(2014)
Image segmentation of repetitive patterns / Kamelia Kamel.
Masters thesis, Universiti Teknologi MARA (UiTM).
Abstract
Image segmentation is a challenging task in the area of image processing and has been researched for the last four decades. There are many research conducted on image segmentation, but a special attention needs to be focused on segmentation of images with repetitive patterns, as it involves grouping the repeated patterns in a meaningful structure. The objectives of this study is to propose a method to segment the repetitive patterns image and grouped the images based on its shape features. For this purpose, 7 Pua Kumbu images is selected. There are several steps involved throughout the proposed method.
Metadata
Item Type: | Thesis (Masters) |
---|---|
Creators: | Creators Email / ID Num. Kamel, Kamelia UNSPECIFIED |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Jamil, Nursuriati UNSPECIFIED |
Subjects: | G Geography. Anthropology. Recreation > GN Anthropology > Ethnic groups T Technology > TA Engineering. Civil engineering > Applied optics. Photonics > Optical data processing > Image processing |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences |
Programme: | Master of Science (Computer Science) – CS750 |
Keywords: | Image processing, image segmentation, repetitive patterns, biased normalized cuts |
Date: | 2014 |
URI: | https://ir.uitm.edu.my/id/eprint/87115 |
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