TY - GEN
T1 - Application of opposition-based reinforcement learning in image segmentation
AU - Sahba, Farhang
AU - Tizhoosh, Hamid R.
AU - Salama, Magdy M.M.A.
PY - 2007
Y1 - 2007
N2 - In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropriate local values and segment the object. The agent uses an image and its manually segmented version and takes some actions to change the environment (the quality of segmented image). The agent is provided with a scalar reinforcement signal as reward/punishment. The agent uses this information to explore/exploit the solution space. The values obtained can be used as valuable knowledge to fill the Q-matrix. The results demonstrate potential for applying this new method in the field of medical image segmentation.
AB - In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropriate local values and segment the object. The agent uses an image and its manually segmented version and takes some actions to change the environment (the quality of segmented image). The agent is provided with a scalar reinforcement signal as reward/punishment. The agent uses this information to explore/exploit the solution space. The values obtained can be used as valuable knowledge to fill the Q-matrix. The results demonstrate potential for applying this new method in the field of medical image segmentation.
UR - http://www.scopus.com/inward/record.url?scp=34548704982&partnerID=8YFLogxK
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U2 - 10.1109/CIISP.2007.369176
DO - 10.1109/CIISP.2007.369176
M3 - Conference contribution
AN - SCOPUS:34548704982
SN - 1424407079
SN - 9781424407071
T3 - Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007
SP - 246
EP - 251
BT - Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007
T2 - 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007
Y2 - 1 April 2007 through 5 April 2007
ER -