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Edge detection method based on inhibition internuncial neuron

An interneuron, edge detection technology, applied in the field of image processing, can solve problems such as excitation

Inactive Publication Date: 2017-02-01
GUANGXI NORMAL UNIV
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AI Technical Summary

Problems solved by technology

Given that most interneurons are inhibitory, able to inhibit the firing of other neurons without directly causing excitation in the brain

Method used

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  • Edge detection method based on inhibition internuncial neuron
  • Edge detection method based on inhibition internuncial neuron

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Embodiment Construction

[0051] In order to make full use of gain modulation for edge detection, the present invention proposes a novel method to extract image edge features, which is called an edge detection model of de-inhibited neurons. Disinhibitory neurons are defined in terms of peripheral modulation, which to some extent mimics how the brain works, expressing edge and color information in images. The amount of information contained in the edge detection model based on the gain modulation function is obviously higher than that of the classical edge detection model, which can be regarded as an edge detection method based on the neuron connection mechanism.

[0052] A kind of edge detection method based on inhibitory interneuron, comprises the steps:

[0053] (1) In order to simulate the gain modulation of de-inhibiting interneurons, we first use the surrounding modulation (surround modulation) to simulate the neuron modulation, including near-surround (near-surround) modulation and far-surround (...

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Abstract

The present invention discloses an edge detection method based on inhibition internuncial neuron. The edge detection method based on inhibition internuncial neuron pays attentions to the attributes of the inhibition internuncial neuron to perform edge detection, and provides a novel edge feature detection model based on a gain modulation function. The edge feature detection model based on the gain modulation function can be taken as a space antagonism-type receptive field image edge feature detection method, is specially used for natural image analysis and has more abundant information than a classic edge detection method. The edge detection method based on inhibition internuncial neuron integrates the advantages of the space structure attributes of the excitatory neuron and the attributes of the inhibition internuncial neuron, and simulates the brain operation mechanism to a certain extent and can express the edge information and color information of the image. The information amount included by the edge detection model based on the gain modulation function is obviously higher than a classic edge detection model, and the edge detection model based on the gain modulation function can be taken as the edge detection model based on the neuromine connectionism.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an edge detection method based on an inhibitory interneuron. Background technique [0002] The mechanics of the brain are critical and there is a diversity of neurons in all regions of the brain. Neurons (nerve cells) are the basic units that constitute the structure and function of the nervous system. Most sensory, cognitive and motor initiation functions depend on the interaction of a large number of neurons in the brain. After visual information is processed and processed by visual neurons at all levels, animals (including humans) can perceive and distinguish objects in the outside world. [0003] Interneurons are multipolar neurons that connect ascending and descending neurons in the nerve conduction pathway. The main function of interneurons is to form connections between neurons and play a role in communication. Given that most interneurons are inhibitory, they...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13G06T7/174
CPCG06T2207/10024G06T2207/20081G06T2207/20084G06T2207/20221
Inventor 刘广海
Owner GUANGXI NORMAL UNIV
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