Applications of Pulse-Coupled Neural Network in Image Segmentation for Liver Hydatid
TIAN Xianghua1, HAMIT Murat1, ZHU Congxu2, KONG Dewei3
1. College of Medical Engineer Technology, Xinjiang Medical University, Urumqi 830011, China;2. School of Information Science & Engineering, Central South University, Changsha 410083, China;3. Department of Radiology, The First Affiliated Hospital, Xinjiang Medical University, Urumqi 830054, China
Abstract：In the application of pulse-coupled neural network(PCNN),it is difficult to set the parameter of pulse-coupled neural network. In the pulse-coupled neural network model, the linking coefficient β plays an important role. According to the relative entropy D(P, Q: t) and standard deviation, educe an estimate formula that to set the linking coefficient β automatically in the simplified pulse-coupled neural network model. Experimental results show that the algorithm gets a better visual effect when dealing liver hydatid disease image,showing great adaptability.