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197039

GRADING OF YEMENI RAISIN (RAZIGI CV.) Using Non-Contact Machine Vision Techniques

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Last updated: 05 Jan 2025

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Abstract

This research aimed at establishing quality standards for noncontact grading of Yemeni raisin (Vitis vinifera) of Razigi variety, by
developing a digital image processing algorithm based on color and
shape information. This was accomplished through developing preprocessing procedures to segment transparent interior areas in raisin
color images as the regions of interest and highlight their morphology
for extracting shape features. A distinct signature for each raisin grade
was generated by calculating number of matches of a set of twenty
selected morphological features. A minimum distance classifier was
developed, trained and tested in grading raisins by sorting them into
three grades, namely, A, B, and C. The classifier was successful in
sorting two raisin grades, namely, A and C with 100% CCR and 0%
MCR for each. Its performance was not good enough in sorting raisins
of grade B as the CCR dropped to 50%. Some difficulties were
encountered by the classifier in sorting half of the raisins of grade B
due to their great similarity with grade A raisins. The developed
algorithm confirmed its perfect performance in distinguishing between
grades A and C, and successfully initiated quality standards for grading
raisins using non-contact machine vision techniques with the need for
some improvement to extend its precision to encompass grade B.

DOI

10.21608/fjard.2009.197039

Keywords

Raisin, Quality Standards, Non-contact grading, Machine vision, Color information, Transparent areas, Region structural shape

Authors

First Name

M. S.

Last Name

El-Faki

MiddleName

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Affiliation

Agricultural Engineering Department, Faculty of Agriculture, Sana'a University

Email

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City

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Orcid

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First Name

M. H.

Last Name

Al-Hazami

MiddleName

-

Affiliation

Horticulture Department, Faculty of Agriculture, Sana'a University Republic of Yemen

Email

-

City

-

Orcid

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Volume

23

Article Issue

1

Related Issue

27885

Issue Date

2009-01-01

Receive Date

2021-09-30

Publish Date

2009-01-01

Page Start

86

Page End

93

Print ISSN

1110-7790

Online ISSN

2805-2528

Article File

FJARD_Volume 23_Issue 1_Pages 86-93.pdf

PDF . 369.3kB

Link

https://fjard.journals.ekb.eg/article_197039.html

Detail API

https://fjard.journals.ekb.eg/service?article_code=197039

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28

Type

Research articles.

Type Code

1,920

Publication Type

Journal

Publication Title

Fayoum Journal of Agricultural Research and Development

Publication Link

https://fjard.journals.ekb.eg/

MainTitle

GRADING OF YEMENI RAISIN (RAZIGI CV.) Using Non-Contact Machine Vision Techniques

Details

Type

Article

Created At

23 Jan 2023