Identification of the Proximal Caries of Dental X-Ray Image with Multiple Morphology Gradient Method

Jufriadif Na`am (1), Johan Harlan (2), Sarifuddin Madenda (3), Eri Prasetio Wibowo (4)
(1) Universitas Putra Indonesia YPTK Padang
(2) Gunadarma University
(3) Gunadarma University
(4) Computer
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How to cite (IJASEIT) :
Na`am, Jufriadif, et al. “Identification of the Proximal Caries of Dental X-Ray Image With Multiple Morphology Gradient Method”. International Journal on Advanced Science, Engineering and Information Technology, vol. 6, no. 3, June 2016, pp. 345-8, doi:10.18517/ijaseit.6.3.827.
This study aims to perform the sharpening of the dental x-ray image in the form of a panoramic dental x-ray. The method used in this study was segmentation morphology consisting of the dilation, erosion and gradient process. This study also developed a process of  morphology gradient of subtracting morphology dilation results with the results of morphology erosion dilation in iterating basis. The results achieved indicate that the image enhancement process in each iteration stage can display caries objects clearly,  making it easier to identify proximal caries. In this study have been compiled a looping morphology gradient algorithm which is called multiple morphology gradient

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