Title :
Wavelet transformation for dental X-ray radiographs segmentation technique
Author :
Patanachai, Nakintorn ; Covavisaruch, Nongluk ; Sinthanayothin, Chanjira
Author_Institution :
Dept. of Comput. Eng., Chulalongkorn Univ., Bangkok, Thailand
Abstract :
Teeth segmentation of dental X-ray radiographs is the important step in teeth recognition. A segmentation to partition teeth from other areas in dental X-ray images. This paper proposes wavelet transform (WT) to segment dental X-ray images. Wavelet transform are small waves located in different time that analyze according to scale. Indeed, they are obtained using scaling and translation of a scaling function and wavelet function. The result of segmentation is a teeth feature marking each pixel. Such as, edges detection from image segmented.
Keywords :
X-rays; image segmentation; medical image processing; radiography; wavelet transforms; dental X-ray radiographs segmentation technique; teeth segmentation; wavelet transformation; Dentistry; Discrete wavelet transforms; Image segmentation; Teeth; X-ray imaging; Dental X-ray radiograph; segmentation; wavelet transform;
Conference_Titel :
Knowledge Engineering, 2010 8th International Conference on ICT and
Conference_Location :
Bangkok
Print_ISBN :
978-1-4244-9874-1
Electronic_ISBN :
2157-0981
DOI :
10.1109/ICTKE.2010.5692904