Image segmentation based on multiresolution filtering

Author

Zhou, Jing ; Fang, Xiang ; Ghosh, Bijoy K.

Author_Institution

Dept. of Syst. Sci. & Math., Washington Univ., St. Louis, MO, USA

Volume

3

fYear

1994

fDate

13-16 Nov 1994

Firstpage

483

Abstract

The multiresolution filtering technique is developed and applied to smooth image segmentation. The technique is based on approximations of a signal by some orthonormal wavelet basis at various resolutions. It is shown that the filter is close to being shift invariant and linear in phase according to an index on wavelets and also capable of suppressing local quadratic variations due to small bumps or noise by going to coarser approximations. An image segmentation scheme is proposed based on the technique. It has been tested on a variety of real images

Keywords

approximation theory; delay circuits; filtering theory; image resolution; image segmentation; wavelet transforms; image regions; linear phase filter; local quadratic variations suppression; multiresolution filtering; orthonormal wavelet basis; shift invariant filter; signal approximations; smooth image segmentation; Additive noise; Clustering algorithms; Filtering; Filters; Image resolution; Image segmentation; Multiresolution analysis; Polynomials; Signal resolution; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413759

Filename

413759