Title :
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
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;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413759
