Automatic Image Stitching Using SURF and RANSAC Based Homography Estimation

Year 2022, Volume: 25 Issue: 2, 597 - 604, 01.06.2022

Anil Bas

https://doi.org/10.2339/politeknik.768444

Abstract

This study presents a fully automatic method for image stitching on two-dimensional uncontrolled images. It provides a solution to the field-of-view limitation, which is especially needed in areas such as stereo and multi-angle camera applications, satellite and underwater mapping systems, and medical imaging. The study is based on reference points detection between the images with the SURF algorithm, image alignment with RANSAC and homography techniques, and image blending with the Poisson method. The quantitative and qualitative experiments show that the proposed method produces higher quality results than previous approaches.

Keywords

Image stitching, SURF, RANSAC, homography, poisson blending

SURF ve RANSAC Tabanlı Homografi Tahmini Kullanarak Otomatik İmaj Birleştirme

Abstract

Bu çalışmada kontrolsüz ortamda çekilen iki boyutlu imajların birleştirilmesi için tam otomatik bir yöntem sunulmaktadır. Özellikle stereo ve çok açılı kamera uygulamaları, uydu ve sualtı haritalama sistemleri, tıbbi görüntüleme gibi alanlarda ihtiyaç duyulan bu yöntem, görüntülerdeki görüş alanı limitasyonuna bir çözüm sunmaktadır. Çalışma, görüntüler arasında bulunan referans noktaların SURF algoritması ile tespiti, bu noktalar üzerinden RANSAC ve homografi teknikleri ile imajların hizalanması ve Poisson yöntemi ile imajların harmanlanmasına dayanmaktadır. Yapılan nicel ve nitel deneyler, önerilen yöntemin diğer yaklaşımlardan daha kaliteli sonuçlar verdiğini göstermektedir.

Keywords

İmaj birleştirme, SURF, RANSAC, homografi, poisson harmanlama

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