Image Classification of Decapterus Macarellus Using Ridge Regression

Charmelia Yunizar Jerandu*, Alicia Herlin Mondolang, Corazon Olivia Sianturi, Shine Crossifixio Sianturi, Jenita Felixia Ximenes, Agustinus Bimo Gumelar, Alfry Aristo Jansen Sinlae, Patrisius Batarius, Umi Laili Yuhana, Adri Gabriel Sooai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Pelagic fish such as mackerel are a source of protein in Indonesia. However, there is no decapterus macarellus as an open dataset for image processing using various classification algorithms. Where its use includes the sensor-assisted sorting process in checking fresh fish and rotten fish. For this reason, this study aims to provide a classification model for pelagic fish and their primary datasets which is available for free on the IEEE data port. Artificial intelligence is used in the process of guided classification with the help of ground truth for the preparation of fish classes. The dataset used is a primary dataset consisting of fish images, arranged in two classes, namely 71 fresh fish and 96 rotten fish. The methods used are k-NN classifiers, naive bayes and ridge regression. Experiments were drawn up to classify rotten fish and fresh fish. The preprocessing was assisted by InceptionV3 as a feature extraction method. Furthermore, the image data is trained in a ratio of 60:40 for training and testing data. Validation was performed using 2-fold cross validation with the results obtained being 99.4%, 94% and 100% accuracy using the classifiers namely k-NN, naive bayes and ridge regression, respectively.

Original languageEnglish
Title of host publicationProceedings - 2022 8th International Conference on Education and Technology
Subtitle of host publicationDigital Transformation and Empowering Technology for Future Education, ICET 2022
PublisherInstitute of Electrical and Electronics Engineers
Pages81-86
Number of pages6
ISBN (Electronic)9781665492140
DOIs
Publication statusPublished - 2022
Event8th International Conference on Education and Technology, ICET 2022 - Malang, Indonesia
Duration: 15 Oct 202216 Oct 2022

Publication series

NameProceedings - International Conference on Education and Technology, ICET
Volume2022-October
ISSN (Print)2770-4807

Conference

Conference8th International Conference on Education and Technology, ICET 2022
Country/TerritoryIndonesia
CityMalang
Period15/10/2216/10/22

Keywords

  • artificial intelligence
  • image classification
  • k-NN
  • naïve bayes
  • pelagic fish
  • ridge regression

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