TY - JOUR
T1 - Adaptive image segmentation with distributed behavior-based agents
AU - Liu, Jiming
AU - Tang, Yuan Y.
N1 - Funding Information:
The authors wish to thank the Associate Editor of the Transactions, Professor K.V. Mardia, and anonymous reviewers for their detailed and valuable comments and suggestions that helped improve the presentation of this paper. We would also like to acknowledge the helpful suggestions from Le Jun on dynamics modeling. The work reported here has been supported in part by a Hong Kong Baptist University Faculty Research Grant.
PY - 1999/6
Y1 - 1999/6
N2 - This paper presents an autonomous agent-based image segmentation approach. In this approach, a digital image is viewed as a two-dimensional cellular environment in which the agents inhabit and attempt to label homogeneous segments. In so doing, the agents rely on some reactive behaviors such as breeding and diffusion. The agents that are successful in finding the pixels of a specific homogeneous segment will breed offspring agents inside their neighboring regions. Hence, the offspring agents will become likely to find more homogeneous-segment pixels. In the mean time, the unsuccessful agents will be inactivated, without further search in the environment.
AB - This paper presents an autonomous agent-based image segmentation approach. In this approach, a digital image is viewed as a two-dimensional cellular environment in which the agents inhabit and attempt to label homogeneous segments. In so doing, the agents rely on some reactive behaviors such as breeding and diffusion. The agents that are successful in finding the pixels of a specific homogeneous segment will breed offspring agents inside their neighboring regions. Hence, the offspring agents will become likely to find more homogeneous-segment pixels. In the mean time, the unsuccessful agents will be inactivated, without further search in the environment.
UR - http://www.scopus.com/inward/record.url?scp=0032666925&partnerID=8YFLogxK
U2 - 10.1109/34.771323
DO - 10.1109/34.771323
M3 - Journal article
AN - SCOPUS:0032666925
SN - 0162-8828
VL - 21
SP - 544
EP - 551
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
JF - IEEE Transactions on Pattern Analysis and Machine Intelligence
IS - 6
ER -