DocumentCode :
1120966
Title :
Fourier Coding of Image Boundaries
Author :
Chellappa, R. ; Bagdazian, R.
Author_Institution :
Department of Electrical Engineering and the Image Processing Institute, University of Southern California, Los Angeles, CA 90089.
Issue :
1
fYear :
1984
Firstpage :
102
Lastpage :
105
Abstract :
A transform coding scheme for closed image boundaries on a plane is described. The given boundary is approximated by a series of straight line segments. Depending on the shape, the boundary is represented by the (x-y) coordinates of the endpoints of the line segments or by the magnitude of the successive radii vectors that are equispaced in angle around the given boundary. Due to the circularity present in the data, the discrete Fourier transform is used to exactly decorrelate the finite boundary data. By fitting a Gaussian circular autoregressive model to represent the boundary data, estimates of the variances of the Fourier coefficients are obtained. Using the variances of the Fourier coefficients and the MAX quantizer, the coding scheme is implemented. The scheme is illustrated by an example.
Keywords :
Area measurement; Clouds; Cyclones; Delay; Image coding; Image edge detection; Image segmentation; Pattern recognition; Pixel; Satellites; Boundary coding; circular autoregressive models; image coding; transform coding;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.1984.4767482
Filename :
4767482
Link To Document :
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