An Algorithm for Selecting the Head and Tail of an Intact Fish in the Overlapping Multi-fish Image for Freshness Detection

Eko Prasetyo*, Nanik Suciati, Chastine Fatichah

*Corresponding author for this work

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

Abstract

The fish freshness detection application assists the public in determining the freshness of fish purchased at the market. The application operates two principal tasks: detecting body parts' regions of interest (ROI) and classifying freshness. For ROI detection, the You Only Look Once (Yolo) method detects intact fish and their parts, such as heads and tails. Then, a Convolutional Neural Network classifies them for freshness. However, the input image for Yolo may contain fish with arbitrary placement resulting in overlapped and redundant detected parts. Hence, an algorithm to select the appropriate head and tail of an intact fish from the detected parts is required to correctly aggregate the freshness classes of all fish in the image. This study proposes a head and tail selection algorithm using two principal components: the head-tail distance and the intersection over the fish part. The experimental results on 20 overlapping fish images show that the algorithm selects heads and tails with an accuracy of 84.21%. The best weights for both components are 0.6-0.4 to 0.8-0.2.

Original languageEnglish
Title of host publicationProceeding - IEEE 8th Information Technology International Seminar, ITIS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages195-199
Number of pages5
ISBN (Electronic)9798350398199
DOIs
Publication statusPublished - 2022
Event8th IEEE Information Technology International Seminar, ITIS 2022 - Surabaya, Indonesia
Duration: 19 Oct 202221 Oct 2022

Publication series

NameProceeding - IEEE 8th Information Technology International Seminar, ITIS 2022

Conference

Conference8th IEEE Information Technology International Seminar, ITIS 2022
Country/TerritoryIndonesia
CitySurabaya
Period19/10/2221/10/22

Keywords

  • distance
  • fish freshness
  • head and tail selection
  • intact fish
  • intersection over fish part

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