Scopus
A vision based inspection system using Gaussian mixture model based interactive segmentation
IDAP 2017 - International Artificial Intelligence and Data Processing Symposium · Ekim 2017
Makale Bilgileri
DergiIDAP 2017 - International Artificial Intelligence and Data Processing Symposium
Yayın TarihiEkim 2017
Scopus ID2-s2.0-85039924341
Özet
The quality control is a very important task in industrial systems. When the quality control of a product has been made during production, the manufacturing defects will be minimized. For this purpose, automatic inspection system has been developed. In his study, a new vision based method is proposed for quality control and inspection purposes. The proposed method uses interactive segmentation which the main principle is based on Gaussian mixture models. After the current frame is segmented, some morphological operators will be applied to the segmented image in order to reduce noise. Some geometrical features are calculated and the objects are inspected according to their sizes. The efficiency of the proposed method has been ensured by using real videos.
Yazarlar (4)
1
Ilhan Aydin
ORCID: 0000-0001-6880-4935
2
Mehmet Karaköse
3
Gaylan Ghazi Hamsin
4
Erhan Akin
ORCID: 0000-0001-6476-9255
Anahtar Kelimeler
Automatic inspection
Computer vision
Geometric features
Interactive segmentation
Quality control
Kurumlar
Firat Üniversitesi
Elazig Turkey
Metrikler
5
Atıf
4
Yazar
5
Anahtar Kelime