Detection of Painting Cracks Using Optimal Thresholding


Dizdaroglu B.

IEEE 17th Signal Processing and Communications Applications Conference, Antalya, Türkiye, 9 - 11 Nisan 2009, ss.263-266 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/siu.2009.5136562
  • Basıldığı Şehir: Antalya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.263-266

Özet

In this study, the existing optimal image thresholding techniques are reviewed for detection of painting cracks in general. Cracks on the painting can be detected by using the morphological top-hot transformation. However, since there are quite a number of false detections, a thresholding method should be applied to the obtained result. Therefore, optimal thresholding methods such as Otsu, Minimum error and Fuzzy thresholding can be used for overcoming this problem. Experimental results demonstrate the validity of the thresholding methods.