Feature extraction in shape recognition using segmentation of the boundary curve

Yükleniyor...
Küçük Resim

Tarih

1997-10

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Elsevier Science BV

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Araştırma projeleri

Organizasyon Birimleri

Dergi sayısı

Özet

We present a new method for feature extraction of two-dimensional shape information based on segmentation of the boundary curve. This approach partitions closed shapes into segments and finds their angular spans. The number of segments and the angular spans form the first two feature parameters of a given shape. Fourier coefficients of all segments constitute the final feature parameters. The algorithm renders the shapes independent of scale, rotation and translation, The main advantage of this method is to speed up substantially the recognition process of the shapes, mainly because it is possible to design the classification rule in a hierarchical way. It is therefore suitable for objects to be sorted in a factory environment where the silhouette boundary supplies sufficient information for identification.

Açıklama

Anahtar Kelimeler

Shape recognition, Boundary curve segmentation, Fourier descriptors, Autoregressive model, Classification, Algorithms, Anti-aliasing, Feature extraction, Fourier transforms, Image analysis, Image segmentation, Object recognition

Kaynak

Pattern Recognition Letters

WoS Q Değeri

Q2
Q2

Scopus Q Değeri

Q1

Cilt

18

Sayı

10

Künye

Özuğur, T., Denizhan, Y. & Panayırcı, E. (1997). Feature extraction in shape recognition using segmentation of the boundary curve. Pattern Recognition Letters, 18(10), 1049-1056. doi:10.1016/S0167-8655(97)00129-3