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Novel Feature Extraction for Pineapple Ripeness Classification, Journal of Telecommunications and Information Technology, 2022, nr 1
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Title: Novel Feature Extraction for Pineapple Ripeness Classification, Journal of Telecommunications and Information Technology, 2022, nr 1

Creator:

Wang, Hui Hui ; Chai, Sze Ye

Date:

2022, nr 1

Resource Type:

artykuł

Description:

A novel feature extraction method has been pro posed to improve the accuracy of the pineapple ripeness clas sification process. The methodology consists of six stages, namely: image acquisition, image pre-processing, color ex traction, feature selection, classification and evaluation of re sults. The red element in the RGB model is selected as the threshold value parameter. The ripeness of pineapples is de termined based on the percentage share of yellowish scales visible in images presenting the front and the back side of the fruit. The prototype system is capable of classifying pineap ples into three main groups: unripe, ripe, and fully ripe. The accuracy of 86.05% has been achieved during experiments.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:2211

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

pineapple ripeness grading image processing technique,

Object collections:

Last modified:

Mar 11, 2024

In our library since:

Apr 21, 2022

Number of object content hits:

19

All available object's versions:

https://bc.itl.waw.pl/publication/2517

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Edition name Date
Chai, Sze Ye, 2022, nr 1, Novel Feature Extraction for Pineapple Ripeness Classification, Journal of Telecommunications and Information Technology, 2022, nr 1 Mar 11, 2024

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artykuł
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Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

Phone

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

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