National Technical Reports Library

The National Technical Information Service acquires, indexes, abstracts, and archives the largest collection of U.S. government-sponsored technical reports in existence. The NTRL offers online, free and open access to these authenticated government technical reports. Technical reports and documents in its repository may be available online for free either from the issuing federal agency, the U.S. Government Publishing Office’s Federal Digital System website, or through search engines.

Details

Parallel Image Processing with Autowaves: Segmentation and Edge Extraction.

DE2001763331

Publication Date	2000
Personal Author	Skourikhine, A. N.
Page Count	10
Abstract	Biologically inspired image processing algorithms like pulse-coupled neural network find many applications in image preprocessing such as segmentation and edge extraction. The two highly parallel methods of edge extraction from gray-scale images using pulse-coupled neural network are presented. The approach of both methods is based on phenomenon of autowaves, whose properties enable efficient parallel image processing.
Keywords	Image processing Cybernetics Parallel processing Segmentation Edge extraction Autowaves Pulse-Coupled neural network
Source Agency	Technical Information Center Oak Ridge Tennessee
NTIS Subject Category	62F - Pattern Recognition & Image Processing
Corporate Authors	Los Alamos National Lab., NM.; Department of Energy, Washington, DC.
Document Type	Conference Proceedings
NTIS Issue Number	200124
Contract Number	W-7405-ENG-36

Parallel Image Processing with Autowaves: Segmentation and Edge Extraction.

Parallel Image Processing with Autowaves: Segmentation and Edge Extraction.
DE2001763331

Publication Date	2000
Personal Author	Skourikhine, A. N.
Page Count	10
Abstract	Biologically inspired image processing algorithms like pulse-coupled neural network find many applications in image preprocessing such as segmentation and edge extraction. The two highly parallel methods of edge extraction from gray-scale images using pulse-coupled neural network are presented. The approach of both methods is based on phenomenon of autowaves, whose properties enable efficient parallel image processing.
Keywords	Image processing Cybernetics Parallel processing Segmentation Edge extraction Autowaves Pulse-Coupled neural network
Source Agency	Technical Information Center Oak Ridge Tennessee
NTIS Subject Category	62F - Pattern Recognition & Image Processing
Corporate Authors	Los Alamos National Lab., NM.; Department of Energy, Washington, DC.
Document Type	Conference Proceedings
NTIS Issue Number	200124
Contract Number	W-7405-ENG-36