Title :
Enhancement and edge detection of images by spline dyadic wavelets
Author :
Turki, T.A. ; Abdukirim, Abduxukur ; Haiying, Zhang
Author_Institution :
Sch. of Math. Sci., Xinjiang Normal Univ., Urumqi, China
Abstract :
Dyadic wavelet transform is suitable for enhancement and edge detection of images since it has a shift-invariant property. Especially, spline dyadic wavelet transform provides excellent enhancement and edge detection techniques because of the smoothness and compact support of box-spline functions. This paper gives a sufficient condition for constructing spline dyadic wavelet filters, and designs some of them under the sufficient condition. Fast dyadic wavelet transform having these filters is applied to enhancement and edge detection of medical images, which helps the diagnosis of illness by medical doctors.
Keywords :
edge detection; image enhancement; medical image processing; patient diagnosis; wavelet transforms; diagnosis; edge detection; illness; image enhancement; medical images; shift-invariant property; spline dyadic wavelet transform; Biomedical imaging; Filtering theory; Image edge detection; Image reconstruction; Spline; Wavelet transforms; Dyadic wavelet transform; edge detection; enhancement; spline dyadic wavelets;
Conference_Titel :
IT in Medicine and Education (ITME), 2011 International Symposium on
Conference_Location :
Cuangzhou
Print_ISBN :
978-1-61284-701-6
DOI :
10.1109/ITiME.2011.6130779
