Histogram of edge-contour for ARIID fish images / Mohammad Ariff Md Yusof

Manual system to retrieve information about lots of images is hard and cumbersome. The information has to be extracted from books, journals, or any other printed or electronic media. Nowadays, image retrieval can be found in the form of complex system but at the same time making it easier to match i...

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Main Author: Md Yusof, Mohammad Ariff
Format: Thesis
Language:English
Published: 2009
Online Access:https://ir.uitm.edu.my/id/eprint/87213/1/87213.pdf
https://ir.uitm.edu.my/id/eprint/87213/
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spelling my.uitm.ir.872132024-02-19T07:13:05Z https://ir.uitm.edu.my/id/eprint/87213/ Histogram of edge-contour for ARIID fish images / Mohammad Ariff Md Yusof Md Yusof, Mohammad Ariff Manual system to retrieve information about lots of images is hard and cumbersome. The information has to be extracted from books, journals, or any other printed or electronic media. Nowadays, image retrieval can be found in the form of complex system but at the same time making it easier to match images with other images when queried. This study is focused on extracting edges from images of fishes. It can be used to match and identify which family or species the fish came from and retrieve other images of fish of the same family in an image retrieval system which can be developed by enhancing this image processing system. 2009 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/87213/1/87213.pdf Histogram of edge-contour for ARIID fish images / Mohammad Ariff Md Yusof. (2009) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description Manual system to retrieve information about lots of images is hard and cumbersome. The information has to be extracted from books, journals, or any other printed or electronic media. Nowadays, image retrieval can be found in the form of complex system but at the same time making it easier to match images with other images when queried. This study is focused on extracting edges from images of fishes. It can be used to match and identify which family or species the fish came from and retrieve other images of fish of the same family in an image retrieval system which can be developed by enhancing this image processing system.
format Thesis
author Md Yusof, Mohammad Ariff
spellingShingle Md Yusof, Mohammad Ariff
Histogram of edge-contour for ARIID fish images / Mohammad Ariff Md Yusof
author_facet Md Yusof, Mohammad Ariff
author_sort Md Yusof, Mohammad Ariff
title Histogram of edge-contour for ARIID fish images / Mohammad Ariff Md Yusof
title_short Histogram of edge-contour for ARIID fish images / Mohammad Ariff Md Yusof
title_full Histogram of edge-contour for ARIID fish images / Mohammad Ariff Md Yusof
title_fullStr Histogram of edge-contour for ARIID fish images / Mohammad Ariff Md Yusof
title_full_unstemmed Histogram of edge-contour for ARIID fish images / Mohammad Ariff Md Yusof
title_sort histogram of edge-contour for ariid fish images / mohammad ariff md yusof
publishDate 2009
url https://ir.uitm.edu.my/id/eprint/87213/1/87213.pdf
https://ir.uitm.edu.my/id/eprint/87213/
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score 13.211869