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Identity Analysis of Egg Based on Digital and Thermal Imaging: Image Processing and Counting Object Concept

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 7 No. 1 (2017)

DOI
10.11591/ijece.v7i1.pp200-208
ISSN
2088-8708, 2088-8708
Published
2017-02-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

This Research was conducted to analyze the identification of eggs. The research processes use two tools, namely thermal imaging camera and smartphone camera. The identification process was done by using Matlab prototype tools. The image has been acquired by means of proficiency level, then analyzed and applied several methods. Image acquisition results of thermal imaging camera are processed using morphological dilation and do the complement in black and white (BW). While the digital image uses the merger method of morphological dilation and opening, and it doesn't need to be complemented. Labeling process is done, and the process of determining centroid and bounding box. The process has been done and it can be applied for identifying of chicken eggs with the accuracy rate of 100%. There are different methods of both images is obtained area (pixels) which is equivalent to the difference is very small as 6 x 10 -3.

Collaboration network of the authors

33 authors · 68 co-authorship links · 11 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Ahmad Dahlan
  • Universitas Teknologi Yogyakarta
  • AGH University of Krakow
  • Universitas Pembangunan Nasional Veteran Yogyakarta
  • Sunan Kalijaga State Islamic University Yogyakarta
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Abdul FadlilUniversitas Ahmad Dahlan4
Imam RiadiUniversitas Ahmad Dahlan3
Rusydi UmarUniversitas Ahmad Dahlan3
Rafał DreżewskiAGH University of Krakow2
Asno Azzawagama FirdausUniversitas Ahmad Dahlan1
HermanUniversitas Ahmad Dahlan1
Rio SubandiAffiliation unknown1
Sunardi SunardiUniversitas Ahmad Dahlan1
Deni MurdianiUniversitas Ahmad Dahlan1
W YunanriUniversitas Ahmad Dahlan1
Frandika SeptaUniversitas Ahmad Dahlan1
Siti HelmiyahUniversitas Ahmad Dahlan1
Abdullah HanifUniversitas Ahmad Dahlan1
Andi PrayudiUniversitas Ahmad Dahlan1
Tundo TundoSunan Kalijaga State Islamic University Yogyakarta1
Kharis Hudaiby HanifUniversitas Ahmad Dahlan1
Herman HermanUniversitas Ahmad Dahlan1
Satriya Dwi PutraUniversitas Ahmad Dahlan1
Fitri AnggrainiUniversitas Ahmad Dahlan1
Herman HermanUniversitas Ahmad Dahlan1
Tri Stiyo FamujiUniversitas Ahmad Dahlan1
Herman HermanUniversitas Ahmad Dahlan1
Ahmad Taufiq AkbarAffiliation unknown1
Ahmad Taufiq AkbarUniversitas Pembangunan Nasional Veteran Yogyakarta1
Hari PrapcoyoUniversitas Pembangunan Nasional Veteran Yogyakarta1
Muhammad Nur FaizUniversitas Ahmad Dahlan1
Eko PriantoUniversitas Ahmad Dahlan1
Ahmad Tri HidayatUniversitas Teknologi Yogyakarta1
Suhirman SuhirmanUniversitas Teknologi Yogyakarta1
M. Apriandi KusumaUniversitas Teknologi Yogyakarta1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Identity Analysis of Egg Based on Digital and Thermal Imaging: Image Processing and Counting Object Concept</dc:title><dc:creator>Sunardi, Sunardi</dc:creator><dc:creator>Yudhana, Anton</dc:creator><dc:creator>Saifullah, Shoffan</dc:creator><dc:description>&lt;jats:p&gt;This Research was conducted to analyze the identification of eggs. The research processes use two tools, namely thermal imaging camera and smartphone camera. The identification process was done by using Matlab prototype tools. The image has been acquired by means of proficiency level, then analyzed and applied several methods. Image acquisition results of thermal imaging camera are processed using morphological dilation and do the complement in black and white (BW). While the digital image uses the merger method of morphological dilation and opening, and it doesn't need to be complemented. Labeling process is done, and the process of determining centroid and bounding box. The process has been done and it can be applied for identifying of chicken eggs with the accuracy rate of 100%. There are different methods of both images is obtained area (pixels) which is equivalent to the difference is very small as 6 x 10&amp;lt;sup&amp;gt;-3&amp;lt;/sup&amp;gt;.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2017-02-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v7i1.pp200-208</dc:identifier><dc:identifier>10.11591/ijece.v7i1.pp200-208</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 7 No 1 (2017); 200</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/6268/6091</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>