Bulanık kurallara ve kenar devamlılığı kurallarına dayalı kenar tespiti iyileştirilmesi

Yıl 2017, Cilt: 19 Sayı: 2, 62 - 76, 28.09.2017

Fatih Kara , Mustafa Ulutaş

https://doi.org/10.25092/baunfbed.340371

Öz

Bu çalışmada tuz ve biber gürültüsü eklenmiş gri seviyeli sayısal
görüntülerde bulanık kurallara (BK) ve kenar devamlılığı kurallarına (KDK) dayalı
kenar tespiti yapılması amaçlanmıştır. 
Bu yöntem yüksek gürültü oranlı görüntülerde diğer birçok yöntemden daha
iyi sonuç vermektedir. Bulanık üyelikler maksimum entropi değerine göre
belirlenmektedir. Görüntünün sinyal gürültü oranı hesaplanmış ve bu orana göre
kenar devamlılığı kurallarının durulaştırılması ile bulanık kuralların
durulaştırılması arasında seçim yapılmıştır. Parametreye ihtiyaç duymayan bu
yöntem Canny, Roberts ve Sobel yöntemleriyle karşılaştırılmıştır.  Kenar devamlılığı kurallarının sürece dâhil
edilmediği durumlarda programın çalışma süresinin azaldığı gösterilmiştir.

Anahtar Kelimeler

Bulanık üyelik, kenar, sinyal gürültü oranı

Improvement of edge detection based on fuzzy rules and edge continuity rules

Öz

In this study it was intended to do edge detection based on fuzzy rules (FR)
and edge continuity rules (ECR) in salt and pepper noise added gray level
images.  This method has better results than
other methods in high level noise ratio images. 
Fuzzy memberships are determined according to maximum entropy value.  Image signal to noise ratio has been computed
and the choice is made between fuzzy rules defuzzification and edge continuity rules defuzzification
according to this ratio.  This method
that does not need parameters has been compared with Canny, Roberts and Sobel operators.  It has been shown that program run time
decreased in situations that edge continuity rules is not included in the process.

Anahtar Kelimeler

Fuzzy membership, edge, signal noise ratio

Kaynakça

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