Higher-order neural units for image processing and their applications to robot routing problems

Zeng Guang Hou*, K. I.Young Song, Madan M. Gupta

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

2 Citations (Scopus)

Abstract

Higher-order neural units have good computational properties in information processing and control applications. This paper presents higher-order neural units for visual image processing. We use the higher-order neural units for edge detection and employ the Hough transform to process the edge detection results. The higher-order neural unit based edge detection method has been applied to solve routing problems for mobile robots. Simulation results show that the proposed higher-order neural units are efficient for image processing and routing applications of mobile robots.

Original languageEnglish
Title of host publicationApplied Computational Intelligence - Proceedings of the 6th International FLINS Conference
PublisherWorld Scientific Publishing Co. Pte. Ltd.
Pages13-18
Number of pages6
ISBN (Print)9812388737, 9789812388735
DOIs
Publication statusPublished - 2004
Externally publishedYes
EventApplied Computational Intelligence - Proceedings of the 6th International FLINS Conference - Blankenberge, Belgium
Duration: 1 Sept 20043 Sept 2004

Publication series

NameApplied Computational Intelligence - Proceedings of the 6th International FLINS Conference

Conference

ConferenceApplied Computational Intelligence - Proceedings of the 6th International FLINS Conference
Country/TerritoryBelgium
CityBlankenberge
Period1/09/043/09/04

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