6533b851fe1ef96bd12a8c20
RESEARCH PRODUCT
A Segmentation System for Soccer Robot Based on Neural Networks
Antonio ChellaVito MorrealeCarmelo AmorosoPietro Storniolosubject
Artificial neural networkComputer scienceColor imagebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMobile robotImage processingRoboticsThresholdingComputingMethodologies_PATTERNRECOGNITIONHistogramRobotSegmentationComputer visionArtificial intelligencebusinessSoccer robotHuedescription
An innovative technique for segmentation of color images is proposed. The technique implements an approach based on thresholding of the hue histogram and a feed-forward neural network that learns to recognize the hue ranges of meaningful objects. A new function for detecting valleys of the histogram has been devised and tested. A novel blurring algorithm for noise reduction that works effectively when used over hue image has been employed. The reported experimental results show that the technique is reliable and robust even in presence of changing environmental conditions. Extended experimentation has been carried on the framework of the Robot Soccer World Cup Initiative (RoboCup).
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2000-01-01 |