Şekil tabanli hizh yürüme yöntemi ile nesne bölütleme ve tanima

Abdulkerim Çapar*, Muhittin Gökmen

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

2 Atıf (Scopus)

Özet

We present a variational framework that integrates the statistical boundary shape models into a Level Set system that is capable of both segmenting and recognizing objects. Since we aim to recognize objects, we trace the active contour and stop it near real object boundaries while inspecting the shape of the contour instead of enforcing the contour to get a priori shape. We get the location of character boundaries and character labels at the system output. We developed a promising local front stopping scheme based on both image and shape information. A new object boundary shape signature model, based on directional Gauss gradient filter responses, was also proposed. The character recognition system employs the new boundary shape descriptor outperformed other well-known boundary signatures such as centroid distance, curvature etc.

Tercüme edilen katkı başlığıSegmentation and recognition system with shape-driven fast marching methods
Orijinal dilTürkçe
Ana bilgisayar yayını başlığı2006 IEEE 14th Signal Processing and Communications Applications Conference
DOI'lar
Yayın durumuYayınlandı - 2006
Etkinlik2006 IEEE 14th Signal Processing and Communications Applications - Antalya, Turkey
Süre: 17 Nis 200619 Nis 2006

Yayın serisi

Adı2006 IEEE 14th Signal Processing and Communications Applications Conference
Hacim2006

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???event.eventtypes.event.conference???2006 IEEE 14th Signal Processing and Communications Applications
Ülke/BölgeTurkey
ŞehirAntalya
Periyot17/04/0619/04/06

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