DocumentCode
1739549
Title
A unified image segmentation approach with application to bread recognition
Author
Pishva, Davar ; Hirakawa, Kouji ; Kawai, Atsuo ; Shiino, Tsutomu
Author_Institution
Dept. of Inf. Sci., Mie Univ., Tsu, Japan
Volume
2
fYear
2000
fDate
2000
Firstpage
840
Abstract
We describe a unique segmentation approach that can be used in a machine vision based cash register system for commodity pricing of hand made bread. Systematic sorting and classification of bread samples according to their shapes, sizes, textures and surface color distribution is explored. We compare and contrast our approach with character recognition and face detection methods
Keywords
computer vision; food processing industry; image colour analysis; image segmentation; image texture; retailing; bread classification; bread recognition; bread sorting; character recognition; commodity pricing; face detection methods; hand made bread; machine vision based cash register system; shape; size; surface color distribution; texture; unified image segmentation; Cameras; Image color analysis; Image recognition; Image segmentation; Image texture analysis; Machine vision; Performance analysis; Pricing; Shape; Surface texture;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-5747-7
Type
conf
DOI
10.1109/ICOSP.2000.891642
Filename
891642
Link To Document