A new feature extraction method from dental X-ray images for human identification

Shamsafar, Faranak

doi:10.1109/iranianmvip.2013.6780018

Cited by 9 publications

(8 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here the segmentation was done in two steps for the tooth and the pulp. The authors in [16][17][18][19][20] assigned T be the tooth area, and τT be a suitable threshold; the pixels (i,j)€T was detected by: I(i,j)>τT From the knowledge of set T, a piecewise linear approximation of its boundary was computed. The boundary of the tooth encloses the region where the pixels of the pulp area was found, as shown in Figure 4a.…”

Section: Image Segmentation and Feature Extraction Techniques On Dental Radiographsmentioning

confidence: 99%

“…Preprocessing and pattern recognition of bite mark analysis using image processing and ANN needs to be well explored. Automated or semi-automated diagnosis of the aforesaid objectives would be useful for further identification of humans in a wide range applications including in the identification of asylum seekers and refugees [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33].…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

See 1 more Smart Citation

Recent Image Processing Techniques in Forensic Odontology - A Systematic Review

Janardanan¹

2018

BJSTR

View full text Add to dashboard Cite

Image processing is a strong tool aiding medical and forensic research. This paper covers a systematic review in the area of dental image analysis applied to forensic odontology. The interpretations of medical images rely hugely on human involvement and the human perception of the details present in it, and the interpretation of the fine details in various contrast situations present in a medical image is indeed a challenge as typical radiographs obtained from a regular radiograph acquisition device may only be of average quality. Various standardized scientific tools that have been designed by researchers, scholars and software developers to address this type of shortcomings in a medical radiograph, targeted to minimize the possible human error in predicting the right diagnosis and treatment solely on the basis the human visual perception, are explored.

show abstract

Section: Image Segmentation and Feature Extraction Techniques On Dental Radiographsmentioning

confidence: 99%

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Recent Image Processing Techniques in Forensic Odontology - A Systematic Review

Janardanan¹

2018

BJSTR

View full text Add to dashboard Cite

show abstract

“…Shamsafar [17] uses gamma transfor-mation to increase the difference between dark areas, such as background, and the bright dental work areas.…”

Section: ) Enhancementmentioning

confidence: 99%

“…Hofer & Marana [31] and Shamsafar [17] apply a similar snake algorithm to improving the contours of dental works. Similarly, Shah et al [32] uses active contour without edges to find the contours of teeth.…”

Section: ) Feature Extraction and Matchingmentioning

confidence: 99%

See 1 more Smart Citation

Automated Dental Identification with Lowest Cost Path-Based Teeth and Jaw Separation

Ølberg

Goodwin

2016

Scandinavian Journal of Forensic Science

View full text Add to dashboard Cite

Abstract:Teeth are some of the most resilient tissues of the human body. Because of their placement, teeth often yield intact indicators even when other metrics, such as finger prints and DNA, are missing. Forensics on dental identification is now mostly manual work which is time and resource intensive. Systems for automated human identification from dental X-ray images have the potential to greatly reduce the necessary efforts spent on dental identification, but it requires a system with high stability and accuracy so that the results can be trusted. This paper proposes a new system for automated dental X-ray identification. The scheme extracts tooth and dental work contours from the X-ray images and uses the Hausdorff-distance measure for ranking persons. This combination of state-of-the-art approaches with a novel lowest cost path-based method for separating a dental X-ray image into individual teeth, is able to achieve comparable and better results than what is available in the literature. The proposed scheme is fully functional and is used to accurately identify people within a real dental database. The system is able to perfectly separate 88.7% of the teeth in the test set. Further, in the verification process, the system ranks the correct person in top in 86% of the cases, and among the top five in an astonishing 94% of the cases. The approach has compelling potential to significantly reduce the time spent on dental identification. Keywords:Path-finding, Human dental identification 44Copyright© Holstad Grafisk, Oslo -Print: prografia, Oslo -ISSN 1503-9552 FORENSIC SCIENCE Scandinavian journal of Nordisk rettsmedisinThe new separation method has the benefit of being able to recover from poor starting conditions, making it robust in cases where the teeth in the image are severely rotated or oddly shaped. A. Problem StatementThe ultimate goal of this work is to create an improved ADIS with new innovative methods as well as methods from related research. As part of the path towards this goal a few hypotheses will be tested. These can be listed as follows.1) It is possible to identify the persons in the data set using only tooth and dental work contour information extracted from the dental X-ray images.The particular combination of techniques and methods applied in this work has not been used to solve this problem before. This hypothesis helps find how the whole system performs with regards to ranking and retrieval accuracy.2) Pathfinding can be used effectively for separating teeth and jaws in dental X-ray images.The separation of dental X-ray images into smaller images each containing a single tooth is a significant problem during feature extraction from such images. B. OutlineFollowing the introduction, section II describes the previous work in the field. The proposed approach is presented in sec-tion III. Testing of both the new method and the methodology as a whole, with discussion, can be found in section IV. Subsequently, the conclusion is presented with a few thoughts on further work.

show abstract

Statistical elimination based approach to jaw and tooth separation on panoramic radiographs for dental human identification

Bozkurt

Karagöl

2023

Multimed Tools Appl

View full text Add to dashboard Cite

A new feature extraction method from dental X-ray images for human identification

Cited by 9 publications

References 7 publications

Recent Image Processing Techniques in Forensic Odontology - A Systematic Review

Recent Image Processing Techniques in Forensic Odontology - A Systematic Review

Automated Dental Identification with Lowest Cost Path-Based Teeth and Jaw Separation

Statistical elimination based approach to jaw and tooth separation on panoramic radiographs for dental human identification

Contact Info

Product

Resources

About