Melola Discovery

← Melola Discovery

Open access Journal SINTA 1

Point Processing Method for Improving Dental Radiology Image Quality

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 6 No. 4 (2016)

DOI
10.11591/ijece.v6i4.9986
ISSN
2088-8708, 2088-8708
Published
2016-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc-nd/4.0

Abstract

Radiology field is very important in today's world, especially in the field of medicine including dentistry. Radiology equipment that is popular in dentistry is the panoramic machine. A panoramic image facilitate the dentist in making a diagnosis of the abnormality in the mouth and teeth. But unfortunately, for developing countries like Indonesia, panoramic machine available are low resolution which have an effect on the resulting image also has low quality. This research aims to improve the quality of the panoramic image to have a better quality. We use point processing method with emphasis on contrast stretching method. We chose this method because it is quite simple but has a high performance. Based on the second opinion from the hospital, the performance is 83.9%, therefore this method is promising to be implemented on the improvement of dental radiology images.

Collaboration network of the authors

40 authors · 132 co-authorship links · 9 across different organisations · showing the 40 most connected

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

  • Jenderal Soedirman University
  • Nara Institute of Science and Technology
  • Institut Agama Islam Negeri Ternate
  • Institut Teknologi Telkom Purwokerto
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Muhammad AlqaafNara Institute of Science and Technology8
Wahyu WidanartoAffiliation unknown5
Wahyu SiswandariJenderal Soedirman University4
Suroso SurosoAffiliation unknown3
Muhammad Rifqi KurniawanJenderal Soedirman University3
Arif Pujo RiyantoJenderal Soedirman University3
Muhammad Syaiful AliimJenderal Soedirman University3
Muhammad Irham AkbarJenderal Soedirman University3
Dina RahmawatiInstitut Agama Islam Negeri Ternate2
Syafrudin Rais AkhdanAffiliation unknown2
Alfin ChrisantyJenderal Soedirman University2
Pangestu F. WibowoJenderal Soedirman University2
Fibra R. FirmandaJenderal Soedirman University2
Arsil Kultura AnzilAffiliation unknown2
Kartika Dwi HapsariAffiliation unknown2
Futiat Diana KartikaAffiliation unknown2
Anung SaptiwulanAffiliation unknown1
Helmi HirawanAffiliation unknown1
Christiana Cahyani PrihastutiAffiliation unknown1
Tirta WardanaAffiliation unknown1
Dody NovrialAffiliation unknown1
Restian Febi AndiniAffiliation unknown1
Agi PrasetiadiInstitut Teknologi Telkom Purwokerto1
Andre Citro Febriliyan LanyakAffiliation unknown1
Muhammad Hisyam GhaniAffiliation unknown1
Abiyan AthallahAffiliation unknown1
Andreas S. AryantoAffiliation unknown1
Mohammad Irham AkbarAffiliation unknown1
Eman SutrisnaAffiliation unknown1
Winasis WinasisAffiliation unknown1
Rafi Satria Dwi AwandaAffiliation unknown1
Madya Ardi WicaksonoAffiliation unknown1
Putra Dwi SusantoAffiliation unknown1
Madya Ardi WicaksonoAffiliation unknown1
Mukhtar EffendiAffiliation unknown1
Tomy TamtowiAffiliation unknown1

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 Oct 2026, last seen 8 Nov 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>Point Processing Method for Improving Dental Radiology Image Quality</dc:title><dc:creator>Supriyanti, Retno</dc:creator><dc:creator>Setiadi, Ariep Soelaiman</dc:creator><dc:creator>Ramadhani, Yogi</dc:creator><dc:creator>Widodo, Haris Budi</dc:creator><dc:description>&lt;jats:p&gt;Radiology field is very important in today's world, especially in the field of medicine including dentistry. Radiology equipment that is popular in dentistry is the panoramic machine. A panoramic image facilitate the dentist in making a diagnosis of the abnormality in the mouth and teeth. But unfortunately, for developing countries like Indonesia, panoramic machine available are low resolution which have an effect on the resulting image also has low quality. This research aims to improve the quality of the panoramic image to have a better quality. We use point processing method with emphasis on contrast stretching method. We chose this method because it is quite simple but has a high performance. Based on the second opinion from the hospital, the performance is 83.9%, therefore this method is promising to be implemented on the improvement of dental radiology images.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2016-08-01</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.v6i4.9986</dc:identifier><dc:identifier>10.11591/ijece.v6i4.9986</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 6 No 4 (2016); 1587</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://www.iaescore.com/journals/index.php/IJECE/article/viewFile/726/484</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0</dc:rights></oai_dc:dc>