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One of the most frequent diseases all over the world is represented by dental caries, hence it is of utmost importance to detect them as early as possible, in order to prevent massive tooth decay. Next to clinical examination, radiographic images are essential in identifying caries, especially for lesions located on the contact surface between the posterior teeth. Incipient caries are difficult to identify, sometimes even for specialists, so segmentation and detection through various image processing techniques may be useful. This paper presents an analysis of edge and texture parameters in X-rays containing caries, based on Sobel and Canny operators, Gabor filters and local binary pattern (LBP) operator. Our study set consisted in 80 X-rays from Bitewing Radiography Caries Detection Challenge 2015. Final results align with literature results and confirm the fact that caries segmentation in X-rays is a difficult task, with an average of less than 35% edge pixels correctly identified and poor results for texture segmentation; they also motivate us to refine our work in search of new algorithms and methods for caries segmentation and detection.

Pertenece a

Applied Medical Informatics  

Autor(es)

IONESCU, Mihaela -  University of Medicine and Pharmacy Craiova -  IONESCU, Alin Gabriel -  MANOLEA, Horia -  TUDOR, Anca -  “Victor Babes” University of Medicine and Pharmacy Timisoara -  MUNTEAN, Călin -  VĂTĂMANU, Oana Astrid -  CIUREA, Marius Eugen -  ROGOVEANU, Ion -  VERE, Cristin Constantin - 

Id.: 71498575

Idioma: eng  - 

Versión: 1.0

Estado: Final

Tipo:  application/pdf - 

Palabras claveDental informatics -  Diagnostic imaging -  Caries -  Edge detection - 

Tipo de recurso: info:eu-repo/semantics/article  -  info:eu-repo/semantics/publishedVersion  -  Peer-reviewed Article  - 

Tipo de Interactividad: Expositivo

Nivel de Interactividad: muy bajo

Audiencia: Estudiante  -  Profesor  -  Autor  - 

Estructura: Atomic

Coste: no

Copyright: sí

: Copyright (c) 2018 Applied Medical Informatics

Formatos:  application/pdf - 

Requerimientos técnicos:  Browser: Any - 

Relación: [IsBasedOn] Applied Medical Informatics; Vol 40, No 1-2 (2018); 1-6
[IsBasedOn] 2067-7855
[References] http://ami.info.umfcluj.ro/index.php/AMI/article/view/628/pdf_61
[References] http://ami.info.umfcluj.ro/index.php/AMI/article/downloadSuppFile/628/257

Fecha de contribución: 01-jul-2018

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