DocumentCode
2066019
Title
Noise reduction of ultrasound prostate images using multi-scale products of the wavelet transform
Author
Zhao, Fangwei ; Desilva, Christopher J S
Author_Institution
Centre for Intelligent Inf. Process. Syst., Univ. of Western Australia, Crawley, WA, Australia
fYear
2001
fDate
18-21 Nov. 2001
Firstpage
53
Lastpage
57
Abstract
A noise reduction scheme based on multi-scale products of the dyadic discrete wavelet transform is proposed and a new automatic threshold finding strategy is defined, which assumes no a priori knowledge about the image structure or noise. The preliminary results of applying this scheme to prostate ultrasound images are promising. The important features of the original image are preserved while most of the speckle noise is removed.
Keywords
biomedical ultrasonics; discrete wavelet transforms; medical image processing; speckle; automatic threshold finding strategy; dyadic discrete wavelet transform; multi-scale products; noise reduction scheme; prostate ultrasound images; speckle noise; ultrasound prostate images; Acoustic noise; Australia; Discrete wavelet transforms; Image segmentation; Noise reduction; Speckle; Spline; Ultrasonic imaging; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Systems Conference, The Seventh Australian and New Zealand 2001
Print_ISBN
1-74052-061-0
Type
conf
DOI
10.1109/ANZIIS.2001.974048
Filename
974048
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