Presentation 2013-12-12
Automatic Fruit Grading system based on Bi-pigment Model
Kasumi ITO, Wataru OHYAMA, Tetsushi WAKABAYASHI, Fumitaka KIMURA,
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Abstract(in English) We propose an algorithm for automatic grading of fruits based on a model which utilizes the characteristics of fruit color. Establishment of automatic sorting and grading techniques are expected to contribute improving food security by introducing objective grading based on quantitative criteria. For this purpose, image-based techniques that adopt visible pericarp color of fruit as feature values have been proposed. However, these techniques were also required to combine the visible feature values and invisible physical sensor values due to low performance of color-based grading. In this research, we confirmed that the color distribution of normal fruit constructs a plane in color space. The plane is obtained from each image and established as Bi-pigment Model. Our grading method classifies an input image containing one fruit into normal or abnormal classes using the value of distance from the Bi-pigment Model on the assumption that the pixel included in the region of an abnormality exists the area. The results of evaluation experiment show that our proposed method having a high degree of usability for fruit grading and a difference between variance covariance matrix and autocorrelation matrix for generating Bi-pigment Model.
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Keyword(in English) Grading / Fruit / Bi-pigment Model / Principal component analysis
Paper # PRMU2013-80
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Conference Information
Committee PRMU
Conference Date 2013/12/5(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Automatic Fruit Grading system based on Bi-pigment Model
Sub Title (in English)
Keyword(1) Grading
Keyword(2) Fruit
Keyword(3) Bi-pigment Model
Keyword(4) Principal component analysis
1st Author's Name Kasumi ITO
1st Author's Affiliation Information and Computer Science, Graduate School of Engineering, Mie University()
2nd Author's Name Wataru OHYAMA
2nd Author's Affiliation Information and Computer Science, Graduate School of Engineering, Mie University
3rd Author's Name Tetsushi WAKABAYASHI
3rd Author's Affiliation Information and Computer Science, Graduate School of Engineering, Mie University
4th Author's Name Fumitaka KIMURA
4th Author's Affiliation Information and Computer Science, Graduate School of Engineering, Mie University
Date 2013-12-12
Paper # PRMU2013-80
Volume (vol) vol.113
Number (no) 346
Page pp.pp.-
#Pages 5
Date of Issue