Abstract
This paper presented an approach for quantifying the dental plaque automatically based on cellular neural network (CNN) associated with histogram analysis. The approach was applied to a clinical database consisting of 15 objects. The experimental results showed that this method provided accurate quantitative measurement of dental plaque compared with that of traditional manual measurement indices of the dental plaque.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Carter, K., Landini, G., Walmsley, A.D.: Automated Quantification of Dental Plaque Accumulation using Digital Imaging. J. of Dentistry. 32 (2004) 623–628
Pretty, I.A., Edgar, W.M., Smith, P.W., Higham, S.M.: Quantification of Dental Plaque in the Research Environment. J. of Dentistry. 33 (2005) 193–207
Cheng, H.D., Jiang, X.H., Sun, Y., Wang, J.L.: Color Image Segmentation: Advances and Prospects. Pattern Recogniton. 34 (2001) 2259–2281
Deshmukh, K.S., Shinde, G.N.: An Adaptive Color Image Segmentation. Electronic Letters on Computer Vision and Image Analysis. 5(4) (2005) 12–23
Chua, L.O., Yang, L.: Cellular Neural Networks: Theory and Application. IEEE Trans. Circuits Syst.. 35 (1988) 1257–1272, 1273–1290
Chua, L.O., Roska, T.: Cellular Neural Networks and Visual Computing. Cambridge Press (2002)
Cai, H., Min, L.Q.: A Kind of Two-input CNN with Application. Int. J. of Bifurcation and Chaos. 15(12) (2005) 4007–4011
Li, G.D., Min, L.Q., Zang, H.Y.: Design for Robustness Edge-gray Detection CNN. 2004 Int. Conf. on Communications, Circuit and Syst.. II (2004) 1061–1065
Liu, J.Z., Min, L.Q.: Design for CNN Templates with Performance of Global Connectivity Detection. Communications in Theoretical Physics. 41(1) (2004) 151–156
Su, Y.M., Min, L.Q.: Robustness Designs of Templates of Directed Overstrike CNNs with Applications. J. of Signal processing. 11 (2004) 449–454
Kim, D.Y., Park, J.W.: Connectivity-based Local Adaptive Thresholding for Carotid Artery Segmentation using MRA Images. Image and Vision Computing. 23 (2005) 1277–1287
Rafael, C.G., Richard, E.W., Steven, L.E.: Digital Image Processing using Matlab. Publishing House of Electronics Industry, Beijing (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Kang, J., Li, X., Luan, Q., Liu, J., Min, L. (2006). Dental Plaque Quantification Using Cellular Neural Network-Based Image Segmentation. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Computing in Signal Processing and Pattern Recognition. Lecture Notes in Control and Information Sciences, vol 345. Springer, Berlin, Heidelberg . https://doi.org/10.1007/978-3-540-37258-5_94
Download citation
DOI: https://doi.org/10.1007/978-3-540-37258-5_94
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37257-8
Online ISBN: 978-3-540-37258-5
eBook Packages: EngineeringEngineering (R0)