Title :
Computer Vision Technology for Seafood Quality Evaluation
Author :
Tao, Xueheng ; Li, Hongjie ; Lu, Jinshi ; Wang, Xuejun
Author_Institution :
Sch. of Inf. Sci. & Eng., Dalian Polytech. Univ., Dalian, China
Abstract :
Today quality and safety are major drivers for the seafood industry. In this paper, computer vision technologies might prove highly relevant, providing objective measurements of visual attributes related to seafood quality and safety. We analyze and share our experience to develop the computer vision technologies for the sea-food industry, coupled with prediction models, for inspection of appearance (size, shape, color and texture), smell, category, bones and defects, presence of blemishes and textures on the surface of seafood products. Computer vision has been successfully adopted for the quality analysis of fish. Likewise other seafood quality and characteristics can also been examined.
Keywords :
automatic optical inspection; computer vision; food processing industry; food products; food safety; image colour analysis; production engineering computing; quality control; surface texture; appearance inspection; blemishes; bone inspection; category inspection; computer vision technology; defect inspection; fish quality analysis; objective visual attribute measurements; prediction models; seafood industry; seafood products; seafood quality evaluation; seafood safety; smell inspection; surface textures; Computer vision; Image color analysis; Industries; Inspection; Software; Visualization; Computer vision system; Image analysis; Objective measurement; Seafood quality and characteristics; Visual inspection;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.470