Image segmentation of repetitive patterns / Kamelia Kamel

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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