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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.816655
