6533b823fe1ef96bd127dfb5

RESEARCH PRODUCT

A Feed-Forward Neural Network for Robust Segmentation of Color Images

Antonio ChellaPietro StornioloV. MorrealeC. Amoroso

subject

Artificial neural networkbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMobile robotTask (project management)Range (mathematics)GeographyFeedforward neural networkRobotComputer visionSegmentationArtificial intelligencebusinessHue

description

A novel approach for segmentation of color images is proposed. The approach is based on a feed-forward neural network that learns to recognize the hue range of meaningful objects. Experimental results showed that the proposed method is effective and robust even in presence of changing environmental conditions. The described technique has been tested in the framework of the Robot Soccer World Cup Initiative (RoboCup). The approach is fully general and it may be successfully employed in any intermediate level image-processing task, where the color is a meaningful descriptor.

yearjournalcountryeditionlanguage
1999-01-01
https://doi.org/10.1007/978-1-4471-0877-1_14