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) | ||||||
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| 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 |
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| Depositing User: | Christine Natalia Nababan | ||||||
| Date Deposited: | 27 Apr 2021 08:35 | ||||||
| Last Modified: | 28 Aug 2024 07:13 | ||||||
| URI: | http://repository.uph.edu/id/eprint/29371 |
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