Classification and numbering on posterior dental radiography using support vector machine with mesiodistal neck detection

6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012

Volumn , Issue , 2012, Pages 432-435

  Arifin, A Z ^a   Hadi, M ^a   Yuniarti, A ^a   Khotimah, W ^a   Yudhi, A ^a   Astuti, E R ^b  

^a DEPARTMENT OF ELECTRICAL ENGINEERING   (Indonesia)

^b AIRLANGGA UNIVERSITY   (Indonesia)

Author keywords

dental; Image processing; Mesiodistal; Morphological filtering; Support Vector Machine; Teeth Numberin

Indexed keywords

BIOMEDICAL APPLICATIONS; CLASSIFICATION PRECISION; DENTAL; DENTAL RADIOGRAPHY; MESIODISTAL; MORPHOLOGICAL FILTERING; MORPHOLOGICAL OPERATIONS; TEETH NUMBERIN;

IMAGE PROCESSING; INTELLIGENT SYSTEMS; MATHEMATICAL MORPHOLOGY; MEDICAL APPLICATIONS; RADIOGRAPHY; SOFT COMPUTING;

SUPPORT VECTOR MACHINES;

EID: 84877824568     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SCIS-ISIS.2012.6505362     Document Type: Conference Paper

References (4)

1. Aeini, F., & Mahmou, F. (2010). Classifcation and numbering of posterior teeth in bitewing dental images. 3rd International Conference on Advanced Computer Theory and Engineering(CTE).
2. Lin, P., Lai, Y., & Huang, P. (2010). An Effective Classification and Numbering System for Dental Bitewing Radiographs using Teeth Region and Contour Information. Pattern Recognition Journal , Vol.43 , 1380-1392.
3. Mohammad, M., & Mohamed, A.-M. (2005). Classifcation and numbering of teeth in dental bitewing images. Elsevier , 38 : 577-586.
4. Yuniarti, A., Nugroho, A., Amaliah, B., & Arifin, AZ. (March 2012). Classification and Numberingof Dental Radiographs for an Automated Human Identification System. Telkomnika, Vol.10, No,1 , 137-146.