关键词: 轮廓定位, 神经网络, 自适应阈值

Abstract: For the object contour location in the images，traditional active contour models and self-organized mapping neural network based algorithms are prone to trap into local minimum in their optimizations and depend on the initial contour selection.A contours location algorithm based on RBF neural network is proposed in this paper.Firstly，image feature points are obtained by adaptive gradient threshold method.After the feature points are clustered，a group of radial basis functions are constructed.Using the pixels’ intensities and gradients as the input vector，the final object contour can be obtained by the predicting ability of the neural network.Compared with traditional algorithm，simulation results show that the proposed contours location algorithm can realize the object contour detection in high efficiency.

Key words: contour location, neural network, adaptive threshold