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All Journal International Journal of Electrical and Computer Engineering International Journal of Informatics and Communication Technology (IJ-ICT) Jurnal Ilmu Komputer dan Informasi Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal Ilmu Komputer Agrikultura Jurnal Teknik ITS IPTEK Journal of Proceedings Series TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Jurnal Buana Informatika Perfecting a Video Game with Game Metrics JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Ilmiah Kursor SCAN Proceeding International Conference on Information Technology and Business Seminar Nasional Informatika (SEMNASIF) Dental Journal (Majalah Kedokteran Gigi) Jurnal Ilmiah Pertanian JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Indonesian Journal of Electrical Engineering and Computer Science Makara Journal of Technology
Anny Yuniarti
Institut Teknologi Sepuluh Nopember
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering

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Journal : Jurnal Ilmu Komputer dan Informasi

 1 
PARAMETER SIGMOID TRANSFORM CONTRAST ENHANCEMENT FOR DENTAL RADIOGRAPH CLASSIFICATION AND NUMBERING SYSTEM Andi Baso Kaswar; Saprina Mamase; Saiful Bahri Musa; Ahmad Mustofa Hadi; Anny Yuniarti; Agus Zainal Arifin
Jurnal Ilmu Komputer dan Informasi Vol 8, No 2 (2015): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (609.272 KB) | DOI: 10.21609/jiki.v8i2.303

Abstract

Dental record is a method that is used to identify a person. The identification process needs a system that could recognize each individual tooth automatically. The similar intensity level between the teeth and the gums is one of the main problem in tooth identification in a dental radiograph. The intensity problem could influence the segmentation process of the system. In this paper, we proposed a new contrast enhancement by using parameter sigmoid transform to increase the segmentation accuracy. There are five main steps in this method. The first step is to fix the contrast of the image with the proposed method. The next steps are to segment the teeth using horizontal and vertical integral projection, feature extraction, and classification using Support Vector Machine (SVM). The last step is teeth numbering. The experiment result using the proposed method have an accuracy rate of 88% for classification and 73% for teeth numbering.
Co-Authors Agus Arifin Agus Arifin, Agus Agus Z. Arifin, Agus Z. Agus Zainal Arifin Agus Zainal Arifin Ahmad Mustofa Hadi Ahmad Mustofa Hadi Akira Asano Akira Taguchi Andi Baso Kaswar Andi Baso Kaswar Anindhita Sigit Nugroho Anindita Sigit Nugroho Arif Fathur Mahmuda Arifzan Razak Aris Fanani Aris Tjahyanto Arya Yudhi Wijaya Betty Natalie Fitriatin Bilqis Amaliah Budi Nugroho Chastine Fatichah Darlis Heru Mukti Darlis Herumurti Devira Wiena Pramintya Dhian Satria Yudha Kartika Dini Adni Navastara, Dini Adni Eva Yulia Puspaningrum Eva Yulia Puspaningrum Feni Siti Fauziah2 Fetty Tri A. Fiandra Fatharany Gulpi Qorik Oktagalu Pratamasunu Handayani Tjandrasa Hani Ramadhan Hidiyah Ayu Ratna Ma’rufah Hudan Studiawan I Made Satria Bimantara I Made Widiartha I Putu Gede Hendra Suputra Imam Kuswardayan Ishardan Ishardan Isye Arieshanti Lutfiani Ratna Dewi M. Ali Fauzi M. Ali Fauzi Maulana, Hendra Mohamad Dion Tiara Muhammad I. Rosadi, Muhammad I. Nadya Anisa Syafa Nanik Suciati Nur Nafi'iyah Oviyanti Mulyani Pasnur Pasnur Ratri Enggar Pawening Reginawanti Hindersah Ridho Rahman Hariadi Riduwan, Muhammad Sahmanbanta Sinulingga Saiful Bahri Musa Saprina Mamase Saputra, Wahyu Syaifullah Jauharis Takashi Nakamoto Wahyu Syaifullah Jauharis Saputra Wijayanti Nurul K Wijayanti Nurul Khotimah