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DC Field | Value | Language |
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dc.contributor.author | Fthi M A Albkosh | - |
dc.date.accessioned | 2021-03-22T06:30:42Z | - |
dc.date.available | 2021-03-22T06:30:42Z | - |
dc.date.issued | 2020-02 | - |
dc.identifier.issn | 1100109852 | - |
dc.identifier.uri | http://umt-ir.umt.edu.my:8080/jspui/handle/123456789/14672 | - |
dc.description.abstract | Texture plays an important role in identifying objects or regions of an image. Texture classification is a very challenging task because texture patterns are mostly random with wide variations of appearances. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Terengganu | en_US |
dc.subject | TA 1637.5 .A4 2020 | en_US |
dc.subject | Improved texture classification using artificial bee colony algorithm and rearrangement matrix method | en_US |
dc.subject | Fthi M A Albkosh | en_US |
dc.title | Improved texture classification using artificial bee colony algorithm and rearrangement matrix method | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Institut Oseanografi |
Files in This Item:
File | Description | Size | Format | |
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Improved texture classification using artificial bee colony algorithm and rearrangement matrix method.pdf Restricted Access | 47.36 MB | Adobe PDF | View/Open Request a copy |
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