Periodontal Diseases Diagnosed Automatically Using Image Processing Techniques.

May 2022
Vol-8, Issue-3
Paper ID: 16857
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Bifurcation Contour detection Dental Radiography Image Enhancement Morphological operations Pre-processing.
Abstract
Dental radiographs are an important tool for diagnosing periodontal disorders and assessing treatment outcomes. Radiography will become even more important in periodontal diagnosis as computer-based image acquisition and processing techniques improve. To identify periodontal diseases, Digital Subtraction Radiography (DSR) requires a pair of images with identical gray-level distribution and projection geometry. Without mechanical alignment of the patient, film, or x-ray source, a pair of identical images can be generated via DSR. The disadvantage of this technique is that if there is any mechanical alignment in the camera view, the outcome will be mismatched. This research describes a method for diagnosing periodontal disorders utilising a single radiographic X-ray image, eliminating the need for two scans.
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

# Name Institute / Affiliation
1 Kundlik Bhope Shatabdi Institute College of Engineering
2 Shradha Jadhav Shatabdi Institute College of Engineering
3 Darshan Tajne Shatabdi Institute College of Engineering
4 Komal Kahandal Shatabdi Institute College of Engineering

How to Cite

Use the following formats to cite this article in your research.

APA Style
Bhope, Kundlik, Jadhav, Shradha, Tajne, Darshan, & Kahandal, Komal (2022). Periodontal Diseases Diagnosed Automatically Using Image Processing Techniques.. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 1773-1778.
MLA Style
Bhope, Kundlik, et al. "Periodontal Diseases Diagnosed Automatically Using Image Processing Techniques.." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 1773-1778.
IEEE Style
Kundlik Bhope, Shradha Jadhav, Darshan Tajne, and Komal Kahandal, "Periodontal Diseases Diagnosed Automatically Using Image Processing Techniques.," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 1773-1778, 2022.
Vancouver Style
Bhope Kundlik, Jadhav Shradha, Tajne Darshan, Kahandal Komal. Periodontal Diseases Diagnosed Automatically Using Image Processing Techniques.. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):1773-1778.
Harvard Style
Bhope, Kundlik, Jadhav, Shradha, Tajne, Darshan, & Kahandal, Komal (2022) 'Periodontal Diseases Diagnosed Automatically Using Image Processing Techniques.', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 1773-1778.
Chicago Style
Bhope, Kundlik, et al. "Periodontal Diseases Diagnosed Automatically Using Image Processing Techniques.." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 1773-1778.
Turabian Style
Bhope, Kundlik, et al. "Periodontal Diseases Diagnosed Automatically Using Image Processing Techniques.." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 1773-1778.

Export Citation

Related Research

Comprehensive Review of Existing Chatbot Systems for Career Assistance, Resume Support, and ATS-Aware Guidance
Amruta Bargal et al. 2026 Data science
PDF Unavailable
Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement
Amruta Bargal et al. 2026 Data science
PDF Unavailable
A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Vaibhav Ashok Bhangare et al. 2026 Computer Engineering
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
Vishakha Jadhav et al. 2026 Human Resource Management, Artificial Intelligence, Machine Learning, Payroll Systems, Cybersecurity, Business Intelligence, Robotic Process Automation, Employee Analytics, Digital Transforma
PDF Unavailable
Civic Engagement & Empowerment Platform
Supriya Dadaso Bankar et al. 2026 Computer engineering
PDF Unavailable
Recent Developments in Microneedle Technology and Its Diverse Biomedical Applications
Diksha Patil 2026 Technology
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
Prof. Priyanka P. Kakade et al. 2026 Computer Engineering
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
Rohan Mulik et al. 2026 Computer Engineering
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
Kirti Datir et al. 2026 Computer Engineering
PDF Unavailable
Employee Performance Portal
P.Harika et al. 2026 Computer science and engineering
PDF Unavailable