DocumentCode :
535185
Title :
Comparison between HDM and PCA in teeth image recognition
Author :
Zheng, Xitao ; Zhang, Yongwei ; Ding, Hong
Author_Institution :
Coll. of Inf. Technol., Shanghai Ocean Univ., Shanghai, China
Volume :
4
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
1836
Lastpage :
1839
Abstract :
This paper presents the image recognition comparison between the proposed HDM (Hybrid Differential Method) and the commonly accepted PCA method. Both methods are applied to search a specific image from a bigger target picture. The results show that HDM has multiple advantages over PCA when applied to image searching, like considerably less time consumed, better recognition rate when the background or grayscale value changed. The HDM + turn point approach is proposed and will be used in the dental decision making software to do preliminary dental advising for potential patients. An image of a molar was used as an example in the paper, images are intentionally modified to test adaptability in proposed scenarios. All calculations are finished using Matlab toolbox.
Keywords :
decision making; dentistry; image colour analysis; image recognition; medical image processing; principal component analysis; Matlab toolbox; dental advising; dental decision making software; grayscale value; hybrid differential method; image searching; molar; principal component analysis; teeth image recognition; turn point approach; Biomedical imaging; Dentistry; Gray-scale; Image recognition; Pattern recognition; Principal component analysis; Teeth; HDM; PCA; pattern recognition; teeth image processing; teeth recognition; turn point;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
Type :
conf
DOI :
10.1109/CISP.2010.5647246
Filename :
5647246
Link To Document :
بازگشت