Knowledge-based system for on-line grading of herring roe

Author

Wu, Q.M. ; de Silva, C.W. ; Beatty, A. ; Cao, L.X. ; Gamage, L. ; Gosine, Raymond ; Kurnianto, I.

Author_Institution

Ind. Autom. Lab., British Columbia Univ., Vancouver, BC, Canada

Volume

4

fYear

1995

fDate

22-25 Oct 1995

Firstpage

3742

Abstract

Grading of herring roe is a tedious and labor-intensive task. This paper presents techniques developed by us for automating the grading process. Visual and ultrasonic sensors are used to obtain information related to the size, shape, color and texture of each skein of roe. Computer vision techniques are developed to analyse the images and generate parametric features. Fuzzy reasoning that mimics human-expert reasoning, has been used to make decisions through a fuzzy logic rule base, which provides for accurate and consistent grading of bulk herring roe

Keywords

computer vision; food processing industry; fuzzy logic; image sensors; knowledge based systems; ultrasonic transducers; computer vision techniques; fuzzy logic rule base; fuzzy reasoning; herring roe; human-expert reasoning; image analysis; knowledge-based system; online grading; parametric feature generation; ultrasonic sensors; visual sensors; Automation; Color; Computer vision; Decision making; Feature extraction; Image analysis; Knowledge based systems; Laboratories; Mechanical engineering; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-2559-1

Type

conf

DOI

10.1109/ICSMC.1995.538370

Filename

538370