A system for human identification from X-ray dental radiographs

Nomir, Omaima; Abdel-Mottaleb, Mohamed

doi:10.1016/j.patcog.2004.12.010

Cited by 159 publications

(79 citation statements)

References 14 publications

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“…Nomir and Abdel−Mottaleb [7] presented a tooth isolation method for a thresholded binary image. Their method can be described from the following three steps: iterative thre− sholding, separation between the upper and the lower jaws, and isolation of each individual tooth.…”

Section: Tooth Isolation Methods Of Nomir and Abdel-mottalebmentioning

confidence: 99%

“…2(a). Adopting the definition of "gap valley" as the valley in the integral projection formed by the gap between the upper and the lower jaws [6] and the concept of the best angle search for skewed radiographs [7,8], we rotate the image by an angle q in the range at the interval of 0.5°each, and take the horizontal integral projection for each q−rotated image H q (y). We then find the "desired gap valley" using Eq.…”

Section: Upper-lower Jaw Separationmentioning

confidence: 99%

“…Teeth, being the hardest and most impregnable part of human body, are thus regarded to be the best candidate for PM identification due to their survivability and diversity [2]. In an automated dental identification system (ADIS) that was developed for PM identification, both shapes and sizes of teeth play important roles [3][4][5][6][7][8][9]. Accurate teeth− −shape and −size can only be obtained through accurate teeth segmentation, teeth segmentation is thus an essential step for achieving high accuracy of the subsequent stages of ADIS.…”

Section: Introductionmentioning

confidence: 99%

“…A similar method is used for finding all teeth separations in both the upper− and lower−jaw images. Nomir and Abdel−Mottaleb [7] presented a "fully automated" ap− proach for a thresholded binary image using integral projec− tion also, where the threshold is obtained by using iterative thresholding. However, useful information could be lost under imperfect intensity thresholding, which results in in− valid findings of gap valleys in integral projection.…”

Section: Introductionmentioning

confidence: 99%

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An automatic and effective tooth isolation method for dental radiographs

Lin

Huang

Cho

et al. 2013

Opto-Electronics Review

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Tooth isolation is a very important step for both computer-aided dental diagnosis and automatic dental identification systems, because it will directly affect the accuracy of feature extraction and, thereby, the final results of both types of systems. This paper presents an effective and fully automatic tooth isolation method for dental X-ray images, which contains up-per-lower jaw separation, single tooth isolation, over-segmentation verification, and under-segmentation detection. The upper-lower jaw separation mechanism is based on a gray-scale integral projection to avoid possible information loss and incorporates with the angle adjustment to handle skewed images. In a single tooth isolation, an adaptive windowing scheme for locating gap valleys is proposed to improve the accuracy. In over-segmentation, an isolation-curve verification scheme is proposed to remove excessive curves; and in under-segmentation, a missing-teeth detection scheme is proposed. The experimental results demonstrate that our method achieves the accuracy rates of 95.63% and 98.71% for the upper and lower jaw images, respectively, from the test database of 60 bitewing dental radiographs, and performs better for images with severe teeth occlusion, excessive dental works, and uneven illumination than that of Nomir and Abdel-Mottaleb’s method. The method without upper-lower jaw separation step also works well for panoramic and periapical images.

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Section: Tooth Isolation Methods Of Nomir and Abdel-mottalebmentioning

confidence: 99%

Section: Upper-lower Jaw Separationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An automatic and effective tooth isolation method for dental radiographs

Lin

Huang

Cho

et al. 2013

Opto-Electronics Review

View full text Add to dashboard Cite

show abstract

“…It includes X-ray imag ing & its processing for identifying the exact location & depth of damage in affected tooth. As radiographic imaging study in medical practice [6], [7], [8] provides better clue for diagnosis, but it is not merely the final tool; as investigations must be co-related with clinical findings [Courtesy by Dr. Ronak Panchal].…”

Section: Iiprob Lem Definitionmentioning

confidence: 99%