Geometrical Shape Recognition based on CDF Extreme Points Analysis

ÖZTÜRK M.

23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Türkiye, 16 - 19 Mayıs 2015, ss.1449-1452 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/siu.2015.7130116
  • Basıldığı Şehir: Malatya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1449-1452
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

Automated shape recognition is a common problem which have been faced in computer vision applications. The feature(s) used to classify shapes should be chosen well for an accurate and fast way. Centroid distance function curve is a widely used feature in this field because of its quick and easy calculation properties. This study which is aimed to classify 2D convex geometric shapes based on the analysis of extreme points of the curve is proposed. The proposed method is robust to translation, rotation and scale of the objects.