Accession Number : ADA316566
Title : Multiresolution Image Recognition Using the Wavelet Transform.
Descriptive Note : Master's thesis,
Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA
Personal Author(s) : Peyton, William M., Jr
PDF Url : ADA316566
Report Date : JUN 1996
Pagination or Media Count : 89
Abstract : With the growth of information dissemination over digital communication networks, much research has been devoted to compressing digital image information for efficient transmission. The ability to adjust the desired resolution of an image as the available bandwidth on the network changes allows the user to control the flow of data according to the resources available. In this thesis we integrate multiresolution image compression methods with image recognition techniques to assist in automatic image recognition at several levels of resolution. Features of grayscale and binary images of text characters and aircraft line drawings are described using wavelet transform coefficients, wavelet transform subband energy, and Fourier transform coefficients. Transmission of these features over a digital communication link is simulated, and multiresolution recognition performance in the presence of channel noise is presented.
Descriptors : *IMAGE PROCESSING, *TARGET RECOGNITION, *INTEGRAL TRANSFORMS, INFORMATION TRANSFER, RESOLUTION, THESES, USER NEEDS, DATA COMPRESSION, COMPUTER NETWORKS, DIGITAL COMMUNICATIONS, CHANNELS, ENGINEERING DRAWINGS, FOURIER SERIES, LINES(GEOMETRY).
Subject Categories : Target Direction, Range and Position Finding
Distribution Statement : APPROVED FOR PUBLIC RELEASE