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 :
بازگشت