International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 180 - Number 5 |
Year of Publication: 2017 |
Authors: Priyanca P. Gonsalves |
10.5120/ijca2017916034 |
Priyanca P. Gonsalves . Diagnosis of Dental Cavities using Image Processing. International Journal of Computer Applications. 180, 5 ( Dec 2017), 28-32. DOI=10.5120/ijca2017916034
Dental cavity is the disease inside the human mouth which is caused by different bacterial activities. Cavities make an everlasting damage in the tooth and it results in holes inside tooth. Dealing properly with dental cavities and taking an urgent treatment is always recommended to avoid more damage. Dentist recognizes the caries in patients’ teeth by looking directly with eyes and sometimes with help of x-ray (radiograph) of teeth. The automated system would help the dentist to identify the caries in teeth by making use of x-ray. This paper proposes a model to detect the cavities using x-ray images by making use of various image processing techniques, involving RGB to Gray conversion, generation of binary image, finding the region of interest, removing background, identifying regions and dividing image into multiple blocks and finally identifying the cavities present in x-ray image.