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A neural system prototype for data processing using modified conjugate directional filtering (MCDF)

conference contribution
posted on 06.12.2017, 00:00 by Wanwu GuoWanwu Guo, A Watson
Modified conjugate directional filtering (MCDF) is a method proposed by us recently for digital data and image processing. By using MCDF, directional-filtered results in conjugate directions can be not only merged into one image that shows the maximum linear features in the two conjugate directions, but also further manipulated by a number of predefined generic MCDF operations for different purposes. In this paper, we report the progressive result of our MCDF study, which shows that a neural system can be used to implement the MCDF operations. We provide the trial work on applying this MCDF neural system to the processing of a digital terrain model (DTM) in central Australia. The trial work shows that the MCDF provides the power of integrating information in different forms, and thus presents more information in a single image than the conventional methods do.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Parent Title

Intelligent data engineering and automated learning, IDEAL 2003 : 4th International conference, Hong Kong, China, March 21-23, 2003 : revised papers

Start Page

1047

End Page

1051

Number of Pages

5

Start Date

01/01/2003

ISBN-10

354040550X

Location

Hong Kong, China

Publisher

Springer-Verlag

Place of Publication

Heidelberg

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Edith Cowan University;

Era Eligible

Yes

Name of Conference

IDEAL 2003