Wavelets for a vision
- 1 April 1996
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Proceedings of the IEEE
- Vol. 84 (4) , 604-614
- https://doi.org/10.1109/5.488702
Abstract
Early on, computer vision researchers have realized that multiscale transforms are important to analyzethe information content of images. The wavelet theory gives a stable mathematical foundation tounderstand the properties of such multiscale algorithms. This tutorial describes major applications tomultiresolution search, multiscale edge detection and texture discrimination.Keywords
This publication has 29 references indexed in Scilit:
- Scale-space filtering: A new approach to multi-scale descriptionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Wavelets: the mathematical backgroundProceedings of the IEEE, 1996
- Discrete-time wavelet extrema representation: design and consistent reconstructionIEEE Transactions on Signal Processing, 1995
- On Affine Plane Curve EvolutionJournal of Functional Analysis, 1994
- Multiresolution feature extraction and selection for texture segmentationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1989
- Scaling Theorems for Zero CrossingsIEEE Transactions on Pattern Analysis and Machine Intelligence, 1986
- Computational Experiments with a Feature Based Stereo AlgorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1985
- Two-dimensional spectral analysis of cortical receptive field profilesVision Research, 1980
- Computational anatomy and functional architecture of striate cortex: A spatial mapping approach to perceptual codingVision Research, 1980
- Edge and Curve Detection for Visual Scene AnalysisIEEE Transactions on Computers, 1971