Görüntü Analizi Yöntemlerinin Geoteknik Mühendisliğinde Kullanımı

Görüntü işleme teknolojisi; nesnelerin görüntülerinin bilgisayar ortamına aktarılması ve belirlenen amaç doğrultusunda bilgisayar ile işlenmesini içerir. İnsan gözünün yapabileceği işleri taklit etmeyi amaçlayan görüntü analizi ise günümüz mühendisleri ve bilim insanları için en popüler konuların başında gelir. Son yıllarda artan bir hızla deformasyon ölçümleri, kayma analizleri, boşluk analizleri, dane boyut ve biçim parametrelerinin belirlenmesi, geotekstil özelliklerinin belirlenmesi gibi çözümler için geoteknik mühendisliğinde de kullanılmaktadır. Bu çalışmada; görüntü analiz yöntemlerinin geoteknik mühendisliğinde karşılaşılan problemlerin çözümüne dönük kullanımı araştırılmıştır. Laboratuvarda ve arazide geo-malzemelerin tanımlanmasında ve mekanik davranışın ortaya konması sırasında destekleyici yöntem olarak görüntü analizlerinin kullanımı konularındaki literatür değerlendirilmiş, yöntemin avantaj ve limitleri tartışılmıştır.

Anahtar Kelimeler:

Görüntü analizi, Görüntü işleme, Zemin, Geoteknik mühendisliği

Use of Image Analysis Methods in Geotechnical Engineering

Image processing technology includes transferring of images of objects to a computer and to process by the computer for particular objectives. Image analysis, which aims to mimick tasks that the human eye can do, is one of the most popular subjects for today’s scientists and engineers. In recent years, with increasing rate, it is used in geotechnical engineering for solutions such as deformation measurements, shear analysis, porosity analysis, to determine particle size and shape parameters, to determine geotextile characteristics. In this study; possible use of image analysis methods in the solution of the problems encountered geotechnical engineering was investigated. Literature on the use of the image analysis as a complementary method, during identification and reveal of mechanical behavior of rocks and soils in the laboratory and in the field was evaluated, advantages and limitations were discussed.

Keywords:

Image analysis, Image processing, Geotechnical engineering, Soil,

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