Multidirectional Scanning Model MUSCLE to Vectorize Raster Images with Straight Lines
Yazarlar (5)
Prof. Dr. İsmail Rakıp KARAŞ Gebze Teknik Üniversitesi, Türkiye
Prof. Dr. Bulent Bayram Yıldız Teknik Üniversitesi, Türkiye
Fatmagul Batuk
Yıldız Teknik Üniversitesi, Türkiye
Yıldız Teknik Üniversitesi, Türkiye
Abdullah Emin Akay
Kahramanmaras Sütçü Imam Üniversitesi, Türkiye
Kahramanmaras Sütçü Imam Üniversitesi, Türkiye
Prof. Dr. Ibrahim Baz Gebze Teknik Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Sensors (Q1) | ||
| Dergi ISSN | 1424-8220 Dergi Bilgileri (2008) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 04-2008 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 15-04-2008 |
| Cilt / Sayı / Sayfa | 8 / 4 / 2673–2694 | DOI | 10.3390/s8042673 |
| Makale Linki | http://www.mdpi.com/1424-8220/8/4/2673/ | ||
| UAK Araştırma Alanları |
Bilgi Sistemleri
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| Özet |
| This paper presents a new model, MUSCLE (Multidirectional Scanning for Line Extraction), for automatic vectorization of raster images with straight lines. The algorithm of the model implements the line thinning and the simple neighborhood methods to perform vectorization. The model allows users to define specified criteria which are crucial for acquiring the vectorization process. In this model, various raster images can be vectorized such as township plans, maps, architectural drawings, and machine plans. The algorithm of the model was developed by implementing an appropriate computer programming and tested on a basic application. Results, verified by using two well known vectorization programs (WinTopo and Scan2CAD), indicated that the model can successfully vectorize the specified raster data quickly and accurately. |
| Anahtar Kelimeler |
| Geographic information systems | Raster to vector conversion | Thinning | Threshold | Topology | Vectorization |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 1 |
| Scopus | 3 |
| Google Scholar | 5 |