A deformable wavelet descriptor and its application to curve extraction from noisy images

Author

Chuang, Chun-Hsiung ; Kuo, C. -C Jay

Author_Institution

Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA

fYear

1993

fDate

1-3 Nov 1993

Firstpage

11

Abstract

We developed a hierarchical planar curve descriptor which decomposes a curve into components of different scales by using the wavelet transform in our previous work. We interpret the wavelet coefficients as random variables and call it the deformable wavelet descriptor. The application of the deformable wavelet descriptor to boundary curve extraction from noisy images is examined. Due to the multiscale and local support properties of the wavelet basis, the deformable wavelet approach performs better than the traditional Fourier approach. Experimental results are given to demonstrate the performance of the proposed method in extracting the boundary curve of an object from low SNR images

Keywords

image representation; wavelet transforms; boundary curve extraction; curve extraction; deformable wavelet descriptor; experimental results; hierarchical planar curve descriptor; image representation; local support properties; low SNR images; multiscale properties; noisy images; random variables; wavelet basis; wavelet coefficients; wavelet transform; Filtering; Image edge detection; Image processing; Pattern recognition; Random variables; Shape; Signal analysis; Signal processing; Signal resolution; Wavelet analysis; Wavelet coefficients; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-4120-7

Type

conf

DOI

10.1109/ACSSC.1993.342459

Filename

342459