Perancangan Perangkat Lunak untuk Ekstraksi Ciri dan Klasifikasi Pola Batik
<p class="abstract"><span>The popularity of batik patterns in Indonesia has varied. Industrial modern devices in imaging have supported batik pattern recognition and classification. The important of product pattern information could not naturally visible. The information about...
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| Format: | Article |
| Language: | English |
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Universitas Muhammadiyah Yogyakarta
2015-11-01
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| Series: | Semesta Teknika |
| Online Access: | https://journal.umy.ac.id/index.php/st/article/view/424 |
| _version_ | 1818158486993764352 |
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| author | Indah Soesanti |
| author_facet | Indah Soesanti |
| author_sort | Indah Soesanti |
| collection | DOAJ |
| description | <p class="abstract"><span>The popularity of batik patterns in Indonesia has varied. Industrial modern devices in imaging have supported batik pattern recognition and classification. The important of product pattern information could not naturally visible. The information about batik pattern can be achieved by using the appropriate software design of image processing for extracting the features. One of the potential procedures is the unsupervised classification method based on specific feature. In this research, the specific feature extraction based on the eigenimage of batik pattern was done. In the final step, the nearest distance eigenimage between reference batik image and test batik image was used to identify the batik from the classical pattern field point of view. The results of batik image identification conformed 96.67% with the reference batik images.</span></p> |
| first_indexed | 2024-12-11T15:30:52Z |
| format | Article |
| id | doaj.art-187862bc7aba4fab907754130236a93e |
| institution | Directory Open Access Journal |
| issn | 1411-061X 2502-5481 |
| language | English |
| last_indexed | 2024-12-11T15:30:52Z |
| publishDate | 2015-11-01 |
| publisher | Universitas Muhammadiyah Yogyakarta |
| record_format | Article |
| series | Semesta Teknika |
| spelling | doaj.art-187862bc7aba4fab907754130236a93e2022-12-22T01:00:04ZengUniversitas Muhammadiyah YogyakartaSemesta Teknika1411-061X2502-54812015-11-01172157165362Perancangan Perangkat Lunak untuk Ekstraksi Ciri dan Klasifikasi Pola BatikIndah Soesanti0Universitas Gadjah Mada<p class="abstract"><span>The popularity of batik patterns in Indonesia has varied. Industrial modern devices in imaging have supported batik pattern recognition and classification. The important of product pattern information could not naturally visible. The information about batik pattern can be achieved by using the appropriate software design of image processing for extracting the features. One of the potential procedures is the unsupervised classification method based on specific feature. In this research, the specific feature extraction based on the eigenimage of batik pattern was done. In the final step, the nearest distance eigenimage between reference batik image and test batik image was used to identify the batik from the classical pattern field point of view. The results of batik image identification conformed 96.67% with the reference batik images.</span></p>https://journal.umy.ac.id/index.php/st/article/view/424 |
| spellingShingle | Indah Soesanti Perancangan Perangkat Lunak untuk Ekstraksi Ciri dan Klasifikasi Pola Batik Semesta Teknika |
| title | Perancangan Perangkat Lunak untuk Ekstraksi Ciri dan Klasifikasi Pola Batik |
| title_full | Perancangan Perangkat Lunak untuk Ekstraksi Ciri dan Klasifikasi Pola Batik |
| title_fullStr | Perancangan Perangkat Lunak untuk Ekstraksi Ciri dan Klasifikasi Pola Batik |
| title_full_unstemmed | Perancangan Perangkat Lunak untuk Ekstraksi Ciri dan Klasifikasi Pola Batik |
| title_short | Perancangan Perangkat Lunak untuk Ekstraksi Ciri dan Klasifikasi Pola Batik |
| title_sort | perancangan perangkat lunak untuk ekstraksi ciri dan klasifikasi pola batik |
| url | https://journal.umy.ac.id/index.php/st/article/view/424 |
| work_keys_str_mv | AT indahsoesanti perancanganperangkatlunakuntukekstraksiciridanklasifikasipolabatik |