The application of wavelet multiresolution technology in medical image analysis

Author

Liu, Yi ; Cheng, Xu

Author_Institution

Peking Univ., Beijing

Volume

2

fYear

2007

fDate

2-4 Nov. 2007

Firstpage

489

Lastpage

493

Abstract

Based on wavelet multiresolution analysis theory, medical image are analyzed. Each wavelet coefficient is viewed as an observation and is judged if it belongs to the wavelet transform modulus maximum(WTMM). Then we employ an extended Ostu threshold algorithm to determine the global and multilevel thresholds so as to delete those false modulus maximum points with gray level values of pixels less than or equal to the given threshold. Then the piecewise cubic Hermite curves are interpolated between two adjacent edge points to fashion the edge contours. The experimental results show the effectiveness of this algorithm.

Keywords

curve fitting; edge detection; image resolution; image segmentation; interpolation; medical image processing; wavelet transforms; edge contour; edge point interpolation; extended Ostu threshold algorithm; medical image analysis; piecewise cubic Hermite curves; wavelet multiresolution technology; wavelet transform modulus maximum; Biomedical imaging; Discrete wavelet transforms; Image analysis; Image edge detection; Image resolution; Information analysis; Notice of Violation; Pattern analysis; Pattern recognition; Wavelet analysis; Wavelet coefficient; edge detection; interpolate; modulus maximum; threshold;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-1065-1

Electronic_ISBN

978-1-4244-1066-8

Type

conf

DOI

10.1109/ICWAPR.2007.4420719

Filename

4420719