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   DISR: Dental Image Segmentation and Retrieval  
   
نویسنده Pilevar Abdol Hamid
منبع journal of medical signals and sensors - 2012 - دوره : 2 - شماره : 1 - صفحه:42 -48
چکیده    In this paper, we propose novel algorithms for retrieving dental images from databases by their contents. based on special information of dental images, for better content-based dental image retrieval and representation, the image attributes are used. we propose dental image segmentation and retrieval (disr), a content-based image retrieval method that is robust to translation and scaling of the objects in the images. a novel model is used to calculate the features of the image. we implemented the dentition plaster casts and proposed a special technique for segmenting teeth in our dental study models. for testing the efficiency of the presented algorithm, a software system is developed and 60 dental study models are used. the models are covering different kinds of malocclusions. our experiments show that 95% of the extracted results are accurate and the presented algorithm is efficient.
کلیدواژه Content-based retrieval ,dental arch ,dental image databases ,dental study model ,DISR
آدرس bu ali sina university of hamadan, Department of Computer Engineering, Medical Intelligence Lab, ایران
پست الکترونیکی pilevar@basu.ac.ir
 
     
   
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