Background: A comprehensive database, comprising geometry and properties of human teeth, is needed for dentistry education and dental research. The aim of this study was to create a three-dimensional model of human teeth to improve the dental E-learning and dental research.   Methods: In this study, a cross-section picture of the three-dimensional model of the teeth was used. CT-Scan im...

Visual information is becoming more important and at a rapid rate. However, creators and users are reluctant to annotate visual content making it difficult to search these collections. Content-based image retrieval (CBIR) techniques extract visual descriptors directly from image data and can hence be used in situations where textual information is not available. In this paper, we give a brief i...

Query-by-content image database will be based on similarity, rater than on matching, where similarity is a measure that is deened and meaningful for every pair of images in the image space. Since it is the human user that, in the end, has to be satissed with the results of the query, it is natural to base the similarity measure that we will use on the characteristics of human similarity assessm...

In this chapter, we focus on those functionalities of multimedia databases that are not present in traditional databases but are needed when dealing with multimedia information. Multimedia data are inherently subjective; for example, the association of a meaning and the corresponding content description of an image as well as the evaluation of the differences between two images or two pieces of...

objectives: this study aimed to find the factors that affect dental esthetics and smile attractiveness in orthodontically treated patients according to laypeople’s judgment, and to determine whether there is any relationship between dental and smile esthetics. materials and methods: using the q-sort technique, 60 laypersons (30 males, 30 females) rated dental and smile photographs of 48 orthodo...

In this paper we present several results obtained by experimenting with Bayesian minimum Maha-lanobis distance and k-nearest neighbor classiica-tion methods in a medical domain. The training set contains of four classes of diierent patholo-gies. Individual pathologies are represented in terms of their contour description, by a high-dimensional vector (the modal vector) abstracting their shape. ...

The general problem of object recognition is diicult and often requires a large amount of computing resources, even for locating an object within a single image. How, then, can it be possible to build a tool to for indexing into a a large database of, say, thousand of images, which works eeectively in \interactive time" on aaordable hardware? One important optimization is to take advantage of i...