Unsupervised nonmodel-based image analysis approach--block processing

Tianhu Lei; Zuo Zhao; Wilfred Sewchand

doi:10.1117/12.171081

23 March 1994 Unsupervised nonmodel-based image analysis approach--block processing

Tianhu Lei, Zuo Zhao, Wilfred Sewchand

Proceedings Volume 2182, Image and Video Processing II; (1994) https://doi.org/10.1117/12.171081
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

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.

Citation Download Citation

Tianhu Lei, Zuo Zhao, and Wilfred Sewchand "Unsupervised nonmodel-based image analysis approach--block processing", Proc. SPIE 2182, Image and Video Processing II, (23 March 1994); https://doi.org/10.1117/12.171081

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