A simple contribution to spatial novelty detection in stereo-vision systems for mobile vehicles in indoor motion is presented by synthesizing a Cellular Nonlinear Network (CNN) for processing perspective images with light-dependent semantic content. Enhanced contrast images are generated by means of a fuzzy evaluation cellular subnet. Spatial novelty images can be subsequently obtained by cascading proper cellular subnets. Quality contrast evaluations are then performed on spatial novelty images using a dedicated cellular circuit. A test case is reported, to show how the suggested cellular system can provide useful information for stereo vision systems.
On Spatial Novelty Detection via Image Contrast Enhancement using Cellular Nonlinear Networks / Carnimeo, Leonarda; Giaquinto, Antonio. - In: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS. - ISSN 1790-0832. - STAMPA. - 1:6(2004), pp. 1747-1750.
On Spatial Novelty Detection via Image Contrast Enhancement using Cellular Nonlinear Networks
Leonarda Carnimeo;Antonio Giaquinto
2004-01-01
Abstract
A simple contribution to spatial novelty detection in stereo-vision systems for mobile vehicles in indoor motion is presented by synthesizing a Cellular Nonlinear Network (CNN) for processing perspective images with light-dependent semantic content. Enhanced contrast images are generated by means of a fuzzy evaluation cellular subnet. Spatial novelty images can be subsequently obtained by cascading proper cellular subnets. Quality contrast evaluations are then performed on spatial novelty images using a dedicated cellular circuit. A test case is reported, to show how the suggested cellular system can provide useful information for stereo vision systems.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
