期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN:2320-9798
电子版ISSN:2320-9801
出版年度:2017
卷号:5
期号:3
页码:3937
DOI:10.15680/IJIRCCE.2017.0503042
出版社:S&S Publications
摘要:This paper focuses on detection of plaque at its initial stage to avoid the formation of Calculus. HerePlaque identification is done using artificial neural networks. The upcoming process deals with four stages EdgeDetection, Segmentation, Feature extraction and Classification. Radiographic dental images are taken as input, thenoise in these images are removed using Median filter and edge detection is carried out using Canny Edge Detectionwhich is the initial step of the process. The method has been implemented by using clustering (Enhanced k-mean)method for segmentation. This method exhibits the lowest failure rate when compared to other methods.