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ITS » Non Degree » T.Elektronika - PENS
Posted by wono at 13/01/2010 12:56:44  •  7359 Views


IMPLEMENTASI PENGOLAHAN CITRA UNTUK IDENTIFIKASI PRODUK KEMASAN BERDASARKAN LABEL KEMASANNYA

IMAGE PROCESSING IMPLEMENTATION FOR PRODUCT IDENTIFICATION BASED ON PRODUCT LABEL PACKAGING

Author :
Mahsun, Moh. Nanang Habibi 




ABSTRAK

Identifikasi produk kemasan merupakan salah satu bentuk implementasi dari pengolahan citra digital. Aplikasi ini dibangun dengan memanfaatkan fitur utama dari citra yaitu fitur warna dan fitur bentuk. Dengan melakukan penggabungan dari kedua fitur ini mampu dihasilkan aplikasi yang mampu melakukan pengidentifikasian terhadap produk kemasan dengan tingkat akurasi yang lebih baik daripada hanya menggunakan fitur warna ataupun fitur bentuk secara terpisah. Pada proyek akhir ini proses identifikasi dilakukan secara real time dengan menggunakan kamera web cam. Untuk dapat melakukan proses identifikasi disini harus dilakukan pengambilan gambar daripada label kemasan produk itu sendiri kemudian dilakukan proses ekstraksi fitur sehingga dari hasil ekstraksi fitur tersebut dapat diketahui identitas masing-masing produk. Untuk proses ekstraksi fitur warna digunakan metode histogram hue karena nilai hue merupakan nilai warna murni tanpa adanya unsur cahaya.Sedangkan untuk proses ekstraksi fitur bentuk digunakan metode deteksi tepi canny karena berdasarkan hasil penelitian yang pernah dilakukan sebelumnya metode deteksi tepi canny merupakan salah satu metode deteksi tepi yang cukup baik dan akurat.


ABSTRACT

The product of identified is one of the implementation in digital image processing. This application developed with using of the main feature image such as color feature and shape feature. Combining both of the features can make this application identified for the commercial product with good accuration than if we only use color feature or shape feature separately. In this final project identified process is done in real time with using of web camera. To do identification previously must to take the picture from product label itself then take extraction feature so from the result of the extraction feature we know the identity of each product. The process of color feature extraction using histogram hue method because the range of hue is the real mark without light form. While the process of shape feature using Canny Edge Detection method because in some research preceded before. The Canny Edge Detection method is one of the best and accurate in Edge Detection method.



KeywordsPengolahan Citra Digital; Histogram Hue; Deteksi Tepi Canny
 
Subject:  Proses image
Contributor
  1. Nana Ramadijanti, S.Kom, M.Kom
    Setiawardhana, S.T
Date Create: 13/01/2010
Type: Text
Format: pdf
Language: Indonesian
Identifier: ITS-NonDegree-3100009036255
Collection ID: 3100009036255
Call Number: RSPE 006.42 Mah i


Source
Informatical Engineering, RSEP 006.42 Mah i, 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-7548-7406030025-kesimpulan.pdf - 126 KB




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