Abstract
In this paper, we propose an automatic subtraction radiography algorithm for detection of periodontal disease in dental radiography. For these goals, this paper proposes the method of an automatic image alignment and detection of minute changes, to overcome defects in the conventional subtraction radiography by image processing technique, that is necessary for getting subtraction image and ROI(Region Of Interest) focused on a selection method using the structure features in target images. Therefore, we use these methods because they give accuracy, consistency and objective information or data to results. In result, easily and visually we can identify minute differences in the affected parts whether they have problems or not, and use application system in a real-time internet environment.
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Ahn, Y., Chae, O. (2005). Automatic Subtraction Radiography Algorithm for Detection of Periodontal Disease in Internet Environment. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424826_77
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DOI: https://doi.org/10.1007/11424826_77
Publisher Name: Springer, Berlin, Heidelberg
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