Fruit Discrimination on Region Feature

Author

Li, YinQing ; Zheng, Xiaodong ; Wang, Xiaojie

Author_Institution

Dept. of Comput. Sci. & Applic., Zhengzhou Inst. of Aeronaut. Ind. Manage., Zhengzhou

Volume

1

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

590

Lastpage

594

Abstract

Outdoor discrimination of fruits based on image processing technology is worth studying. Previous studies and technologies are discussed, then a new technology based on region features, which taken tomato as subject, is presented. The discriminating process includes gray transformation, region edge enhancement, region segmentation and other process. 70 images are tested with the technology and the result shows a 74.3 percent accuracy. Reasons for wrong discriminating are then analyzed and solutions are given. Further tests also prove the new technology is applicable to discriminate other similar fruits by adjusting the gray transformation formula.

Keywords

food products; image enhancement; image segmentation; fruit discrimination; gray transformation; image processing; outdoor discrimination; region edge enhancement; region feature; region segmentation; Aerospace industry; Application software; Colored noise; Computer industry; Computer science; Conference management; Image recognition; Instruments; Knowledge management; Technology management; Fruit Recognition; Image processing; Image recognition; Region feature;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on

Conference_Location

Shandong

Print_ISBN

978-0-7695-3305-6

Type

conf

DOI

10.1109/FSKD.2008.5

Filename

4666045