This research aims to analyze the digital color-coded values of clinical gingival color images and create a gingival color database using digital images to measure the clinical gingival color levels. Theories of RGB and HSB
color models were applied in the present study. The research model was cross-sectional descriptive. There were two research methods: 1) Digital gingival color code analysis and 2) Digital gingival color reliability analysis. In the
first part, photographs of the gingiva of 99 patients who were admitted to the dental hospital, Faculty of Dentistry, Naresuan University, were taken. Adobe Photoshop CS6 software was employed for digital color code analysis. The digital color codes of the gingiva collected from the 143 samples were then examined for their reliability. Data from the study exhibited the total numbers of digital areas from the gingival images were 3,700 areas, with slightly red being the majority, 35.51%, followed by pale pink, red, and bluish-red, for 27.46, 25.43, and 11.59%, respectively. The RGB and HSB color models revealed the frequency of one or two codes using the statistical mode. In contrast, the red code showing ten performed by the RGB model and more codes in the HSB model. The reliability analysis of digital gingiva was calculated with an alpha coefficient of 0.655, which is a moderate confidence level. The analysis of dental images in the present study shows the promising potential to create a database of gingival color. The digital image databases are created on the Windows operating system and Microsoft Access software that can display data such as frequency, percentage, gingival color code, and color samples. Performing the software, users can basically input data consisting of gingival images, color codes, filter inputs, and search the database of RGB and HSB color models.