A novel image coding method with visual cortical model
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
A novel method for image retrieval based on structure elements' descriptor
Journal of Visual Communication and Image Representation
An Iterative Thresholding Segmentation Model Using a Modified Pulse Coupled Neural Network
Neural Processing Letters
Spiking cortical model for multifocus image fusion
Neurocomputing
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Based on the studies of existing local-connected neural network models, in this brief, we present a new spiking cortical neural networks model and find that time matrix of the model can be recognized as a human subjective sense of stimulus intensity. The series of output pulse images of a proposed model represents the segment, edge, and texture features of the original image, and can be calculated based on several efficient measures and forms a sequence as the feature of the original image. We characterize texture images by the sequence for an invariant texture retrieval. The experimental results show that the retrieval scheme is effective in extracting the rotation and scale invariant features. The new model can also obtain good results when it is used in other image processing applications.