Title

A Neural System Prototype for Data Processing Using Modified Conjugate Directional Filtering (MCDF)

Document Type

Conference Proceeding

Publisher

Springer

Faculty

Computing, Health and Science

School

Computer and Information Science

RAS ID

2569

Comments

This article was originally published as: Guo, W., & Watson, A. C. (2003). A neural system prototype for data processing using modified conjugate directional filtering (MCDF). Proceedings of the 4th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2003. (pp. 1047-1051). Hong Kong. Springer. Original article available here

Abstract

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.

DOI

10.1007/978-3-540-45080-1_148

 

Link to publisher version (DOI)

10.1007/978-3-540-45080-1_148