DÜŞÜK ÇÖZÜNÜRLÜK VE GRİ GÖRÜNTÜLERDE GERÇEK ZAMANLI CİLT SEGMENTASYONU

Yıl 2021, Cilt: 9 Sayı: Iconat Special Issue 2021, 61 - 64, 24.12.2021

Utku Kaya , Abidin Kılıç

https://doi.org/10.20290/estubtdb.1011578

Öz

Bu çalışmada, literatürde sıklıkla kullanılan cilt bölütleme problemi, anlamsal bölütleme derin öğrenme algoritmaları ile gerçek zamanlı bir web kamerası üzerinde tespit edilecektir. Cilt segmentasyonu, genellikle yüksek çözünürlüklü görüntülerden ayırt edilmesi için yüksek işlem gücü gerektirir. Bu çalışmada kullanılan derin öğrenme algoritması ve önerilen görüntü işleme yöntemi, web kamerası aracılığıyla gerçek zamanlı, çok düşük CPU kullanımı ve gecikmesiz cilt algılama sağlar.

Anahtar Kelimeler

Skin segmentation, Deep learning, Semantic segmentation

REAL-TIME SKIN SEGMENTATION ON LOW RESOLUTION AND GRAY IMAGES

Öz

In this study, the skin segmentation problem, which is frequently used in the literature, will be detected on a real-time webcam with semantic segmentation deep learning algorithms. Skin segmentation generally requires high processing power to distinguish it from images with high resolution. The deep learning algorithm and the proposed image processing method used in this study provide real-time, very low CPU usage, and lag-free skin detection via webcam.

Anahtar Kelimeler

Skin segmentation, Deep learning, Semantic segmentation

Kaynakça

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• http://cs-chan.com/downloads_skin_dataset.html