Representation and recognition in vision
Representation and recognition in vision
From Images to Surfaces: A Computational Study of the Human Early Visual System
From Images to Surfaces: A Computational Study of the Human Early Visual System
Neural Networks for Region Detection
ICIAP '97 Proceedings of the 9th International Conference on Image Analysis and Processing-Volume II
Motion detection and object tracking with discrete leaky integrate-and-fire neurons
Applied Intelligence
Realistic Simulation on Retina Photoreceptor Layer
JCAI '09 Proceedings of the 2009 International Joint Conference on Artificial Intelligence
Colour image segmentation based on a spiking neural network model inspired by the visual system
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
A neural network model for extraction of salient contours
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Visual information processing in primate cone pathways. I. A model
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Visual information processing in primate cone pathways. II. Experiments
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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In many fields including digital image processing and artificial retina design, they always confront a balance issue among real-time, accuracy, computing load, power consumption, and other factors. It is difficult to achieve an optimal balance among these conflicting requirements. However, human retina can balance these conflicting requirements very well. It can efficiently and economically accomplish almost all the visual tasks. This paper presents a bio-inspired model of the retina, not only to simulate various types of retina cells but also to simulate complex structure of retina. The model covers main information processing pathways of retina so that it is much closer to the real retina. In this paper, the authors did some research on various characteristics of retina via large-scale statistical experiments, and further analyzed the relationship between retina's structure and functions. The model can be used in bionic chip design, physiological assumptions verification, image processing and computer vision.