Cephe dokularının tekli yersel bina görüntülerinden bölge büyütme tabanlı bir yaklaşım kullanılarak otomatik çıkarımı
Bu çalışmada bina cephe dokularının tekli yersel bina görüntülerinden elde edilmesini sağlayan otomatik bir yaklaşım sunulmaktadır. Doku bilgisi Watershed bölütlemesi kullanılarak çıkarılmakta olup bu işlem en başarılı bölütü elde edene kadar tekrarlı olarak gerçekleştirilmektedir. Bölütlemeyi başlatmak için işaretçi pikseller görüntünün hem ön planına bina cephesi hem de arka planına gökyüzü, kaldırım, komşu binalar otomatik olarak yerleştirilir. Geliştirilen kavram iki farklı veri kümesinde test edilmiştir. Birinci veri kümesi Ankara’nın Batıkent bölgesine ait bir yerleşim yerinden seçilen 15 dörtgensel binayı içermektedir. İkinci veri kümesi ise eTRIMS görüntü veritabanından seçilen 5 binadan oluşmakta olup bu veritabanı Avrupa’nın başlıca kentlerinden çekilmiş yüzün üzerinde binayı içermektedir. Bölütlenen cephe dokularının başarım değerlendirmesi kantitatif bir ölçüm metriği ile gerçekleştirilmiştir. Her iki veri kümesi için de cephe dokusu çıkarımı ortalama %80’in üzerinde bir kantitatif doğrulukla elde edilmiştir. Deneysel sonuçlar bina cephe dokularının tespiti için önerilen bu yaklaşımın umut verici olduğuna ve sanal şehirlerin otomatik üretimine doğru giden yolda önemli bir gelişme kaydedilmekte olduğunu göstermektedir.
Anahtar Kelimeler:
Görüntü işleme, Cephe dokusu çıkarımı, Watershed bölütleme, Başarım değerlendirme
An automatic region growing based approach to extract facade textures from single ground-level building images
An approach is presented for the automatic retrieval of building facade textures from single ground-level building images. The texture information is extracted using the Watershed segmentation which is carried out repetitively until the most successful segment is obtained. To initiate segmentation, the marker pixels are seeded automatically both for foreground facade and background sky, pavement and neighboring buildings regions. The proposed concept was tested on two different datasets. The first dataset contains fifteen rectilinear buildings selected from the residential area of the Batikent district of Ankara, Turkey. The second dataset includes five buildings selected from the eTRIMS database, which contains over one hundred buildings captured in major European cities. The assessment of the segmented facade images was carried out using a quantitative evaluation metric. For both datasets, a quantitative accuracy of above 80% was achieved for facade texture extraction in average. The experimental results indicate that the proposed approach for the automatic retrieval of the facade textures is quite promising and a considerable progress has been made towards the automated construction of the virtual cities.
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- ISSN: 2147-1339
- Yayın Aralığı: Yılda 2 Sayı
- Başlangıç: 2012
- Yayıncı: TMMOB Harita ve Kadastro Mühendisleri Odası
Sayıdaki Diğer Makaleler
Minimum çakışan yersel lazer taramalarının birleştirmesi için fotogrametrik özellikler