Share Email Print

Proceedings Paper

Unsupervised nonmodel-based image analysis approach--block processing
Author(s): Tianhu Lei; Zuo Zhao; Wilfred Sewchand
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

An eigenstructure approach for the region detection is presented in this paper. It first defines Block and Snapshot, followed by the data formulation. A covariance matrix is formed as an overall description of the entire image environment. Then information criteria are finally applied to directly determine the number of regions. This approach does not make the heuristic assumptions for the model and considers the spatial correlation among the pixels. it also provides faster and more accurate operation than model-based approaches. The principle of block processing is described and the encouraging results are included.

Paper Details

Date Published: 23 March 1994
PDF: 6 pages
Proc. SPIE 2182, Image and Video Processing II, (23 March 1994); doi: 10.1117/12.171081
Show Author Affiliations
Tianhu Lei, Univ. of Maryland/Baltimore (United States)
Zuo Zhao, Univ. of Maryland/Baltimore (United States)
Wilfred Sewchand, Univ. of Maryland/Baltimore (United States)

Published in SPIE Proceedings Vol. 2182:
Image and Video Processing II
Sarah A. Rajala; Robert L. Stevenson, Editor(s)

© SPIE. Terms of Use
Back to Top