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ITS » Master Theses » Jaringan Cerdas Multimedia S2
Posted by aprill@is.its.ac.id at 23/12/2014 17:07:16  •  1364 Views


CITRA MOSAICING MENGGUNAKAN HEXAGON SEARCH BERBASIS FITUR GLOBAL AFFINE

IMAGE MOSAICING USING HEXAGON SEARCH BASED GLOBAL AFFINE FEATURE

Author :
NAHARI, ROSIDA VIVIN  ( 2211205006 )




ABSTRAK

Citra mosaicing merupakan proses menyajikan gambar secara lengkap dari serangkaian gambar kecil atau serangkaian frame video. Algoritma yang sudah ada pada umumnya hanya berfokus pada penangkapan scene statis. Penelitian ini mengembangkan teknik mosaicing yang terdapat obyek bergerak di dalam frame input. Pada sistem ini ada tiga tahapan yang dilakukan. Pertama preprocessing citra mosaicing berupa estimasi local motion dan global affine. Tahap kedua adalah registrasi citra mosaicing. dan yang terakhir adalah integrasi citra mosaicing. Uji Coba telah dilakukan pada tahap estimasi local motion. Hasil uji coba menunjukkan bahwa teknik Hexagon search dapat digunakan untuk menginisialisasi region background dengan nilai rata-rata PNSR 267655 dB dengan waktu kompputasi rata-rata 841 detik. Pemilihan fitur global affine dari region background mask menjadi pengaruh sangat besar pada hasil registrasi mosaicing. Hal ini dikarenakan dapat mengurangi kesalahan pengambilan titik sudut penggabungan citra dari region obyek yang bergerak foreground.


ABSTRACT

Image mosaicing is the process of displaying a complete picture from a series of small images or a series of video frames. Existing algorithms have generally focused on the capture of a static scene. This research developed a technique of moving objects mosaicing that contained in the input frame. In this system there are cointain three stages. First preprocessing image mosaicing is local motion estimation and estimation of global affine. The second stage is the registration of image mosaicing and the last is the integration of image mosaicing . The Testing has been done on the stage of local motion estimation. The result shows that the Hexagon search technique can be used to initialize the background region with 26.7655 dB for average value of PNSR and average time of 8.41 seconds. Selection of global affine features from background region mask became a huge influence on the outcome of the registration mosaicing. The reason was because it can reduce the retrieval error on the merging corner of moving object regions foreground.



Keywordsimage mosaicing; hexagon search; global affine feature; moving object
 
Subject:  Hexagenia; pengolahan citra
Contributor
  1. Prof. Ir. Mauridhi Hery Purnomo, M. Eng, Ph.D
  2. Mochamad Hariadi, S.T, M.Sc, Ph.D
Date Create: 06/11/2013
Type: Text
Format: pdf
Language: Indonesian
Identifier: ITS-Master-22103140001149
Collection ID: 22103140001149
Call Number: RTE 006.42 Nah c


Source
Master Theses of Electrical Engineering, RTE 006.42 Nah c, 2014

Coverage
ITS Community

Rights
Copyright @2014 by ITS Library. This publication is protected by copyright and per obtained from the ITS Library prior to any prohibited reproduction, storage in a re transmission in any form or by any means, electronic, mechanical, photocopying, reco For information regarding permission(s), write to ITS Library




[ Download - Open Access ]

  1.  ITS-Master-35000-Abstract_id.pdf - 213 KB
  2.  ITS-Master-35000-Abstract_en.pdf - 212 KB
  3.  ITS-Master-35000-Conclusion-392071.pdf - 383 KB
  4.  ITS-Master-35000-Paper-1943217.pdf - 1898 KB




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