Implementation method of retina encoder using space time filter

An implementation method and filter technology, which are used in biological neural network models, eye implants, ophthalmic treatment, etc., can solve the problem of not connecting images and pulse stimulation, and achieve the effect of increasing the parameter space range and connecting closely

Inactive Publication Date: 2007-08-15
SHANGHAI JIAO TONG UNIV
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AI Technical Summary

Problems solved by technology

Its shortcoming is that the spatio-temporal filter used in the ECKMILLER retinal coding method is only a reconstruction of the image, and does not directly link the image with the pulse stimulus

Method used

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  • Implementation method of retina encoder using space time filter
  • Implementation method of retina encoder using space time filter
  • Implementation method of retina encoder using space time filter

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Embodiment Construction

[0024] The embodiments of the present invention are described in detail below: this embodiment is implemented under the premise of the technical solution of the present invention, and detailed implementation methods and processes are provided, but the protection scope of the present invention is not limited to the following embodiments.

[0025] This embodiment is completed by two parts, that is, the BP artificial neural network training process and the parameter optimization method optimization parameter process. Spatio-temporal filters are incorporated throughout as part of the simulated retinal ganglion cell signal processing process.

[0026] 1. As shown in Figure 1, the 729-pixel area is divided into 9 blocks, and a central position of the receptive field is randomly selected in each area.

[0027] 2. Select a set of spatio-temporal filter initial parameter vector a. Vector a contains 63 parameter elements for 9 spatio-temporal filters. Each filter has 7 parameters, 2 w...

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Abstract

This invention relates to one visual film coding method in computer application field, which comprises the following steps: inputting specimen image into time and space filter to get the BP human neural network input, train BP human neural net and to determine human neural net weight value; then inputting specimen any image and taking one random set of filter parameters by use of particle set or strategy method in filter parameter range for optimization; through multiple overlap, outputting image converged to input image and the parameters of the filter are determined with output impulse excitation is relative to input image film codes.

Description

technical field [0001] The invention relates to a method in the field of computer application technology, in particular to a method for realizing a retinal encoder using a spatio-temporal filter. Background technique [0002] Retinal encoder is an important part of retinal artificial vision prosthesis, which is proposed based on known physiological knowledge and experimental data to solve the corresponding relationship between input images and stimulus pulse trains. Vision is an important way for human beings to obtain information. However, many people in the world have different degrees of visual impairment and cannot obtain information through vision. According to the statistics of the World Health Organization, nearly 40 million people are blind in the world, and another 100 million people have varying degrees of visual impairment or weakening. For patients who are blind due to retinal disease, some retinal cells and optic nerve cells are still functioning well. So it ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/02A61F9/00A61F2/14
Inventor 朱贻盛邱意弘牛希娴
Owner SHANGHAI JIAO TONG UNIV
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