抄録
In this paper, we present the color recognition
algorithm based on color constancy algorithm of using
Self-Organizing Map (SOM) for our robot vision system. SOM is
an unsupervised learning algorithm that performs
topology-preserving transformation from higher-dimensional
vector data spaces to low map spaces. The SOM has become a
powerful tool in many areas such as data mining, data analysis,
data classification, and data visualization. Our robot vision system
is based on YUV and HSV color map spaces. Both color maps
have different vector spaces, then, some objects are recognized by
using threshold to use logical addition to YUV and HSV
thresholds. To realize a robust robot vision system against light
changing environment, in our new robot vision algorithm,
recognition of the light color environment and the threshold
parameters are, both, estimated by using SOM.
