LUMINANCE ESTIMATION FROM SURFACES WITH DIFFERENT COLOR TEMPERATURE AND LAMP ILLUMINATION ANGLE: A DEEP LEARNING-BASED APPROACH

Birkan Büyükarıkan; Erkan Ülker

doi:10.17780/ksujes.1626795

TR EN

FARKLI RENK SICAKLIĞI VE AYDINLATMA AÇISI İLE YÜZEYLERDEN PARILTI TAHMİNİ: DERİN ÖĞRENME TABANLI BİR YAKLAŞIM

Öz

Geleneksel yöntemlerle parıltı tahmini, elektronik sistemler yardımıyla gerçekleştirilmektedir. Ancak, nesne üzerindeki parıltıyı etkileyen renk sıcaklığı ve lambanın nesneyi aydınlatma açısı gibi aydınlatma özelliklerinin değişimi geleneksel yöntemlerle parıltı tahminini zorlaştırmaktadır. Dolayısıyla bu çalışmada, parıltı tahminine alternatif bir çözüm sunmak amacıyla evrişimsel sinir ağları (CNN) modellerinden yararlanılarak görüntü tabanlı bir yaklaşım önerilmiştir. Çalışmada, renk sıcaklığı ve lambanın konum açısının etkileri göz önünde bulundurularak, kusurlu ve kusursuz elma görüntüleri üzerinde parıltı tahmini yapılmıştır. Elde edilen sonuçlara göre, GoogLeNet modeli, öğrenme oranının 0.001 ve yığın boyutunun 8 olduğu değerlerde en iyi performansı sergileyerek, daha düşük Karekök Ortalama Kare Hata (RMSE) değeri ile en iyi parıltı tahminini gerçekleştirmiştir. Renk sıcaklıklarına göre, kusurlu elmalar en düşük RMSE değerini 2700 K renk sıcaklığında ve kusursuz elmalar ise en düşük RMSE değerini 6500 K renk sıcaklığında göstermiştir. Renk sıcaklıklarına göre; en iyi parıltı tahmini, 6500 K renk sıcaklığında 5.023 cd/m² RMSE değerindedir. Lamba açısına göre; kusurlu elmalar en düşük RMSE değerini 60 derecelik açıda 5.106 cd/m² ve kusursuz elmalar en düşük RMSE değeri ise 45 derecelik açıda 6.411 cd/m² olarak elde etmiştir.

Anahtar Kelimeler

Thanks

This work was supported by the Scientific Research Project at Konya Technical University, Konya, Turkey (No. 201113006).

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Details

Primary Language

English

Subjects

Computer Vision , Image Processing , Machine Learning (Other)

Journal Section

Research Article

Authors

Birkan Büyükarıkan ^*
0000-0002-9703-9678
Türkiye

Erkan Ülker
0000-0003-4393-9870
Türkiye

Publication Date

June 3, 2025

Submission Date

January 25, 2025

Acceptance Date

March 22, 2025

Published in Issue

Year 1970 Volume: 28 Number: 2

DOI

https://doi.org/10.17780/ksujes.1626795

IZ

https://izlik.org/JA48DY32BH

Cite

RIS / Bibtex

APA

Büyükarıkan, B., & Ülker, E. (2025). LUMINANCE ESTIMATION FROM SURFACES WITH DIFFERENT COLOR TEMPERATURE AND LAMP ILLUMINATION ANGLE: A DEEP LEARNING-BASED APPROACH. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 28(2), 883-896. https://doi.org/10.17780/ksujes.1626795

LUMINANCE ESTIMATION FROM SURFACES WITH DIFFERENT COLOR TEMPERATURE AND LAMP ILLUMINATION ANGLE: A DEEP LEARNING-BASED APPROACH

FARKLI RENK SICAKLIĞI VE AYDINLATMA AÇISI İLE YÜZEYLERDEN PARILTI TAHMİNİ: DERİN ÖĞRENME TABANLI BİR YAKLAŞIM

Öz

Anahtar Kelimeler