Sistem pengenalan benda menggunakan teknik freeman chain code dan jaringan syaraf tiruan = Object recognizing system using freeman chain code technique and neural network

Chevalier, Sharon (2006) Sistem pengenalan benda menggunakan teknik freeman chain code dan jaringan syaraf tiruan = Object recognizing system using freeman chain code technique and neural network. Bachelor thesis, Universitas Pelita Harapan.

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Abstract

Information Technology is growing rapidly. It has been implemented successfully in industry for automation. This final project uses image processing techniques and artificial neural network to recognize four objects. There are one screw driver and three kinds of wrench. This system uses Freeman code descriptors to find area and perimeter of the image. These two parameters will be set as inputs for the artificial neural network and be trained to recognize the image. Through several trainings, this system successfully recognized the objects. However, system has some failures in recognizing the objects, which is caused by the lighting that doesn’t spread well.
Item Type: Thesis (Bachelor)
Creators:
Creators
NIM
Email
ORCID
Chevalier, Sharon
NIM08320020002
UNSPECIFIED
UNSPECIFIED
Contributors:
Contribution
Contributors
NIDN/NIDK
Email
Thesis advisor
Lukas, Samuel
NIDN0331076001
samuel.lukas@uph.edu
Thesis advisor
Aribowo, Arnold
NIDN0304057602
arnold.aribowo@uph.edu
Additional Information: SK 83-02 CHE s ; T 41488
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885-7895 Computer engineering. Computer hardware
Divisions: University Subject > Historic > Faculty/School > Computer System Engineering
Historic > Faculty/School > Computer System Engineering
Depositing User: Christine Natalia Nababan
Date Deposited: 27 Apr 2021 08:35
Last Modified: 14 Oct 2024 08:37
URI: http://repository.uph.edu/id/eprint/29371

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