A Neural System Prototype for Data Processing Using Modified Conjugate Directional Filtering (MCDF)
Document Type
Conference Proceeding
Publisher
Springer
Faculty
Faculty of Computing, Health and Science
School
School of Computer and Information Science
RAS ID
2569
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
Comments
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. Available here