Rotation angle estimation algorithms for textures and their real-time implementation on the FU-SmartCam

Ulas C., Demir S., Toker O., Fidanboylu K.

5th International Symposium on Image and Signal Processing and Analysis, İstanbul, Türkiye, 27 - 29 Eylül 2007, ss.469-475 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/ispa.2007.4383739
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.469-475
  • Bursa Uludağ Üniversitesi Adresli: Hayır

Özet

In this paper, we study rotation angle estimation algorithms for textures, and discuss their real-time implementation on the FU-SmartCam. Rotation angle estimation for textures is closely related to the weft-straightening problem encountered in the textile industry. Earlier weft-straightening machines were based on simpler sensors and hardware, but with the increased complexity of fabric types, and demand for faster and more accurate machines, the whole industry started to switch to real-time machine vision based systems. For example, one of the leading companies in this area, Erhardt+Leimer, started to implement real-time machine vision systems based on the Tattile Smart Camera.