The main objective of the proposed software solution is to improve the performance in dental diagnosis using infrared lock-in thermography and complex image processing algorithms for the determination of defective zones of teeth.
The recorded amplitude profile of the thermal wave shows a maximum corresponding to a heat accumulation in the region where the open micro-gap is found, whereas a minimum in the phase profile is detected. These maxima/minima are convenient indicators that allow to locate surface breaking defects on teeth. For the purpose of emphasizing very small temperature variations surrounding the thin flaws, different image processing algorithms were developed and included within the DCD software solution.

Authors:
Bogdan Belean and Mihaela Streza

Acknowledgement
The software solution was supported by the Romanian UEFISCDI research grant PNII-RU-TE-2014-4-1507 (IMAGEDENT).

Features

  • Upload phase and amplitude IR images of teeth
  • Anisotropic diffusion, morphological operators, adaptive image enhancement, edge detection
  • Plot the teeth defective zones due to marginal and internal micro-gaps located at the interface between tooth and filling.

Project Activity

See All Activity >

Categories

Image Processing

Follow Dental Crack Detection (DCD)

Dental Crack Detection (DCD) Web Site

Other Useful Business Software
Full-stack observability with actually useful AI | Grafana Cloud Icon
Full-stack observability with actually useful AI | Grafana Cloud

Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
Create free account
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Dental Crack Detection (DCD)!

Additional Project Details

Registered

2016-09-28