DocumentCode
3476362
Title
An approach to image segmentation using multiresolution analysis of wavelets
Author
Shi, Zhongchao ; Shibasaki, Ryosuke
Author_Institution
Center for Spatial Inf. Sci., Tokyo Univ., Japan
Volume
6
fYear
1999
fDate
1999
Firstpage
810
Abstract
Local changes or variations of the intensity of an image (such as edges and corners), are important information for image processing and pattern recognition. Wavelet analysis is one of the most popular techniques that can be used to detect local intensity variation. In this paper, multiresolution analysis of wavelets is used to decompose images into pyramid images. Edges and peaks are extracted from pyramid images. A coarse-to-fine image segmentation method is proposed in this paper
Keywords
edge detection; feature extraction; image segmentation; wavelet transforms; edge detection; feature extraction; image processing; image segmentation; multiresolution analysis; pyramid images; wavelet analysis; Computer vision; Image analysis; Image edge detection; Image processing; Image resolution; Image segmentation; Information analysis; Multiresolution analysis; Signal analysis; Wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location
Tokyo
ISSN
1062-922X
Print_ISBN
0-7803-5731-0
Type
conf
DOI
10.1109/ICSMC.1999.816655
Filename
816655
Link To Document