Analyzing edge detection techniques for feature extraction in dental radiographs

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• 作者：Kanika Lakhani^a ; ^{kanikalakhani@yahoo.co.in" class="auth_mail" title="E-mail the corresponding author} ; Bhawna Minocha^a ; ^{bminocha@amity.edu" class="auth_mail" title="E-mail the corresponding author} ; Neeraj Gugnani^b ; ^{drgugnani@gmail.com" class="auth_mail" title="E-mail the corresponding author}
• 关键词：X-ray ; Image ; Sobel ; Prewitt edge detection techniques ; Gaussian filter ; Laplacian
• 刊名：Perspectives in Science
• 出版年：2016
• 出版时间：September 2016
• 年：2016
• 卷：8
• 期：Complete
• 页码：395-398
• 全文大小：515 K

文摘

Several dental problems can be detected using radiographs but the main issue with radiographs is that they are not very prominent. In this paper, two well known edge detection techniques have been implemented for a set of 20 radiographs and number of pixels in each image has been calculated. Further, Gaussian filter has been applied over the images to smoothen the images so as to highlight the defect in the tooth. If the images data are available in the form of pixels for both healthy and decayed tooth, the images can easily be compared using edge detection techniques and the diagnosis is much easier. Further, Laplacian edge detection technique is applied to sharpen the edges of the given image. The aim is to detect discontinuities in dental radiographs when compared to original healthy tooth. Future work includes the feature extraction on the images for the classification of dental problems.