Segmentation of tooth/teeth from dental computed tomography (CT) or X-ray images and thereby its 3D visualization is of great significance for computed assistance strategies such as anomalies detection, planning for orthodontics, dental implants, face and jaw surgeries and much more. This application is often used in forensic science for human identification using matching of post-mortem (PM) a...

Accurate segmentation and classification of different anatomical structures of teeth from medical images plays an essential role in many clinical applications. Usually, the anatomical structures of teeth are manually labelled by experienced clinical doctors, which is time consuming. However, automatic segmentation and classification is a challenging task because the anatomical structures and su...

BACKGROUND The objective of this study is to analyze a set of previously developed and proposed image segmentation protocols for precision in both intra- and inter-rater reliability for in vivo tooth volume measurements using cone-beam computed tomography (CBCT) images. METHODS Six 3D volume segmentation procedures were proposed and tested for intra- and inter-rater reliability to quantify ma...

The purpose of programmed dental segmentation is to identify the person based on dental computed tomography (CT) images. Teeth play important key role in forensic dentistry. We segment the teeth image. The segmentation process consists of Otsu thresholding, morphological processing, orthogonal lines and volume of interest (VOI). In this paper, a segmented tooth is useful for the feature extract...

Automating the process of analysis of Panoramic X-Ray images is important to help dentist procedures and diagnosis. Tooth segmentation from the radiographic images and feature extraction are essential steps. The authors propose a segmentation approach based on mathematical morphology, quadtree decomposition for mask generation, thresholding, and snake models. The feature extraction stage is ste...

To find borders between homogeneous regions in the various morphologies, several segmentation resulting from edge-based and region-growing can not produce exactly the same, and a combination of results often work more accurately. Also, clinically usable segmentation for medical imaging requires a high degree of interaction with registration algorithms such as the Insight Toolkit (ITK) and the V...

Market segmentation is regarded as one of the core elements of marketing , and one that is relevant and important to the pharmaceuticals and medical sector. Yet, within the literature, there are few studies of segmentation evident, and the segmentation of consumer markets for cosmetic medical procedures is an issue yet to be addressed; indeed, this has only become relevant in recent years with ...