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Image segmentation is critical to image processing and pattern recognition, An image segmentation system is proposed for the segmentation of color image based on neural networks. First, we introduce BP Neural network, it has the capacity of parallel computing, distributed saving, self-studying, fault-to-learnt and nonlinear function approximating. So it widely used in image segmentation, but it also...
BP artificial neural network based on genetic algorithm training method was proposed in this paper to solving Renminbi (RMB) number recognition and artificial neural network BP algorithm problems in order to satisfy the technical requirements of financial sector sorter. The BP artificial neural network based on genetic algorithm training method combined the global search ability of genetic algorithm...
It is proposed that a sequential images object recognition method combining a BP neural network with the fast mass functions convergence algorithm based on DSmT. The revised Hu invariant moments are used as the image features. And the sequential images are fused in time domain in the view of information fusion. The basic belief assignment function is created by the initial recognition result from...
Within the statistical decision theory framework, This paper focuses on specific objectives in face recognition, and proposes the BP neural network classification methods which is under the Linex loss function, and proves that the convergence of BP neural network under the Linex loss function. The image recognition experiments with the ORL face database in Cambridge show that this method can effectively...
In order to decrease negative effects brought by the particularity and complexity of imaging environment, and satisfy the real-time need of the underwater task, combined invariant moments are extracted as recognition features. Furthermore, an underwater target recognition system based on neural network which improved by Artificial Fish Swarm Algorithm (AFSA) is proposed. AFSA is of capable of attaining...
In order to insure safety of driving vehicle in the driver assistance system and effective navigation in the automatic driving system, a new recognition method based on the neural network and the invariant moments for traffic signs was proposed in this paper. Firstly, the area of the traffic sign was located from the complicated image background. Secondly, the features of each traffic sign were obtained...
This paper focuses on strategies for presenting an image to a multi-layer perceptron trained with algorithms such as the back propagation learning scheme. The main contribution of this paper is to show that feeding an image to a multi-layer neural net must be chosen carefully because it may have a significant impact on back propagation convergence, or even neural net recognition performance (error...
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