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Detection of Proximal Caries at The Molar Teeth Using Edge Enhancement Algorithm

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 8 No. 5 (2018)

DOI
10.11591/ijece.v8i5.pp3259-3266
ISSN
2088-8708, 2088-8708
Published
2018-10-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Panoramic X-Ray produces produces the most common oral digital radiographic image that it used in dentistry practice. The image can further improve accuracy compared to analog one. This study aims to establish proximal caries edge on enhancement images so they can be easily recognized. The images were obtained from the Department of Radiology, General Hospital of M. Djamil Padang Indonesia. Total file of images to be tested were 101. Firstly, the images are analyzed by dentists who practiced at Segment Padang Hospital Indonesia. They concluded that there is proximal caries in 30 molar teeth. Furthermore, the images were processed using Matlab software with the following steps, i.e. cropping, enhancement, edge detection, and edge enhancement. The accuracy rate of detection of edge enhancement images being compared with that of dentist analysis was 73.3%. In the edge enhancement images proximal caries edge can be found conclusively in 22 teeth and dubiously in eight teeth. The results of this study convinced that edge enhancement images can be recommended to assist dentists in detecting proximal caries.

Collaboration network of the authors

26 authors · 66 co-authorship links · 13 across different organisations

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

  • Gunadarma University
  • Universitas Putra Indonesia "YPTK"
  • Universitas Baiturrahmah
  • University of Indonesia
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Ernastuti ErnastutiGunadarma University4
Sumijan SumijanUniversitas Putra Indonesia "YPTK"3
Achmad FahruroziGunadarma University2
Djati KeramiUniversity of Indonesia2
Rodiah RodiahGunadarma University2
Yuhandri YuhandriAffiliation unknown2
Gunadi Widi NurcahyoUniversitas Putra Indonesia "YPTK"2
Irawadi PutraAffiliation unknown2
Romi HardiantoUniversitas Putra Indonesia "YPTK"2
Mutiana PratiwiUniversitas Putra Indonesia "YPTK"2
Bob Subhan RizaAffiliation unknown1
Diana Tri SusetianingtiasGunadarma University1
RodiahGunadarma University1
Rini AriantyGunadarma University1
Suryarini WidodoGunadarma University1
Fitrianingsih FitrianingsihGunadarma University1
Dewi Putrie LestariGunadarma University1
Eri Prasetyo WibowoGunadarma University1
Ety SutantyGunadarma University1
Dewi Agushinta RGunadarma University1
Diana Tri SusetianigtiasAffiliation 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 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>Detection of Proximal Caries at The Molar Teeth Using Edge Enhancement Algorithm</dc:title><dc:creator>Na'am, Jufriadif</dc:creator><dc:creator>Harlan, Johan</dc:creator><dc:creator>Madenda, Sarifuddin</dc:creator><dc:creator>Santony, Julius</dc:creator><dc:creator>Suharinto, Catur</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span&amp;gt;Panoramic X-Ray produces produces the most common oral digital radiographic image that it used in dentistry practice. The image can further improve accuracy compared to analog one. This study aims to establish proximal caries edge on enhancement images so they can be easily recognized. The images were obtained from the Department of Radiology, General Hospital of M. Djamil Padang Indonesia. Total file of images to be tested were 101. Firstly, the images are analyzed by dentists who practiced at Segment Padang Hospital Indonesia. They concluded that there is proximal caries in 30 molar teeth. Furthermore, the images were processed using Matlab software with the following steps, i.e. cropping, enhancement, edge detection, and edge enhancement. The accuracy rate of detection of edge enhancement images being compared with that of dentist analysis was 73.3%. In the edge enhancement images proximal caries edge can be found conclusively in 22 teeth and dubiously in eight teeth. The results of this study convinced that edge enhancement images can be recommended to assist dentists in detecting proximal caries. &amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2018-10-01</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.v8i5.pp3259-3266</dc:identifier><dc:identifier>10.11591/ijece.v8i5.pp3259-3266</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 8 No 5 (2018); 3259</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/11339/11022</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>