X-ray medical image processing using directional wavelet transform

Author

Li, Lihua ; Qian, Wei ; Clarke, Laurence P.

Author_Institution

Dept. of Radiol., Univ. of South Florida, Tampa, FL, USA

Volume

4

fYear

1996

fDate

7-10 May 1996

Firstpage

2251

Abstract

Multi-resolution and multi-orientation are part of the biological mechanism of human visual system. The interest in multi-resolution image analysis has been growing rapidly. Comparatively, however, the multi-orientation method has received less attention. Based on the relationship between multifrequency channel decomposition and the wavelet model developed by Mallat [1989], a combined multiresolution/multi-orientation representation by directional wavelet transform (DWT) is introduced in this paper. Because of its high orientation selectivity, the DWT allows the processing of directional information more efficiently. It is applied successfully to feature enhancement and extraction of X-ray mammographic images

Keywords

diagnostic radiography; feature extraction; image enhancement; image recognition; image representation; image resolution; medical image processing; wavelet transforms; DWT; X-ray mammographic images; X-ray medical image processing; combined multiresolution/multi-orientation representation; directional wavelet transform; extraction; feature enhancement; multi-orientation method; multifrequency channel decomposition; orientation selectivity; wavelet model; Biological system modeling; Biomedical image processing; Discrete wavelet transforms; Feature extraction; Humans; Image analysis; Multiresolution analysis; Visual system; Wavelet transforms; X-ray imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.545870

Filename

545870