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ITS » Non Degree » T.Elektronika - PENS
Posted by wono at 13/01/2010 09:51:09  •  4393 Views


EKSTRAKSI FITUR TEKSTUR IMAGE DIATOM DENGAN MENGGUNAKAN FILTER GABOR

Author :
Wardhana, Whisnu Satriya 




ABSTRAK

Dalam content-based image retrieval ekstraksi fitur merupakan salah satu hal terpenting. Karena dengan didapatnya fitur suatu gambar maka gambar tersebut dapat diproses lebih lanjut untuk kemudian diketahui jenis gambar tergolong dalam kelompok mana dsb. Makalah ini akan menjelaskan sebuah ekstraksi fitur yang dapat digunakan dalam melakukan pengenalan fitur dari gambar binatang diatom. Di sini fitur yang digunakan adalah fitur tekstur. Karena gambar diatom memiliki pola tekstur yang unik yang membedakan diatom satu dengan yang lain.


ABSTRACT

In Content-Based Image Retrieval feature extraction is one of the most important thing. Because when the feature of an image retrieved the image can be processed further in to note the type of the image in what group does the image classified etc. This paper paper will describe a feature extraction that can be used for feature introduction of diatomic image. The feature used here is texture feature. Because diatomic image pattern has a unique texture that distinguish diatom each other.



KeywordsDiatom; Filter Gabor; Image Retrieval.
 
Subject:  Proses image
Contributor
  1. Arif Basofi, S.Kom
    Nana Ramadijanti, S.Kom, M.Kom
Date Create: 13/01/2010
Type: Text
Format: pdf
Language: Indonesian
Identifier: ITS-NonDegree-3100009036732
Collection ID: 3100009036732
Call Number: RSPE 006.42 War a


Source
Informatical Engineering, RSEP 006.42 War e, 2009

Coverage
ITS Community

Rights
Copyright @2009 by ITS Library. This publication is protected by copyright and permission should be obtained from the ITS Library prior to any prohibited reproduction, storage in a retrievel system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording, or likewise. For information regarding permission(s), write to ITS Library




[ Download - Open Access ]

  1.  ITS-NonDegree-7503-7405040038-kesimpulan.pdf - 82 KB




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