Impulsive neural network-based image feature describing and memorizing method

A technology of spiking neural network and image features, which is applied in the field of computer vision, can solve the problems of loss of relative position information, inability to restore images, and inability to describe images well, and achieve the effect of restoring images.

Active Publication Date: 2016-03-16
TSINGHUA UNIV
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Problems solved by technology

[0004] However, no matter whether the set method or the linear combination method is used to describe the combination of local features of the image, the relative position information between the features will be lost, resulting in the inability to restore the image from the memory. The description and memory are not complete enough

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Embodiment Construction

[0043] The following describes the image feature description and memory method based on the spiking neural network according to the embodiments of the present invention with reference to the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements with the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary, and are only used to explain the present invention, but should not be understood as limiting the present invention.

[0044] The embodiment of the present invention proposes an image feature description and memory method based on a spiking neural network.

[0045] figure 1 It is a flowchart of an image feature description and memory method based on a spiking neural network according to an embodiment of the present invention.

[0046] Such as figure 1 As shown, the image feature description and memory method based on spiking neural network in the embodiment...

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Abstract

The invention provides an impulsive neural network-based image feature describing and memorizing method. the method comprises steps: M normalized images are inputted, the layer number of the impulsive neural network is determined according to the size of the image, a gradient direction at each pixel point is acquired when pretreatment is carried out on the images, the gradient direction is discretized into a preset individual value, distribution of one of each preset value number of neurons in the first layer in the impulsive neural network is determined according to the discretized gradient direction, membrane potential of neurons in the second layer and the distribution condition of the neurons in the second layer are calculated according to the distribution condition of the neurons in the first layer, the distribution conditions of the neurons in all layers are obtained, a connection weight of each layer of the impulsive neural network is adjusted according to a timing relationship for distribution of neurons in all layers and a STDP (Spike Timing-dependent Plasticity) rule, and the image features are described and memorized in a connection weight form. The method of the invention can describe and memorize images of various kinds, can completely restore an image, and also has an image classification function.

Description

Technical field [0001] The present invention relates to the technical field of computer vision, in particular to an image feature description and memory method based on a spiking neural network. Background technique [0002] Computer vision is the use of computers and related equipment to simulate biological vision. Its ultimate research goal is to enable computers to observe and understand the world through vision like humans, and have the ability to adapt to the environment independently. At present, computer vision is widely used in industry, military and other fields, and specific applications include robot path planning, UAV reconnaissance, and autonomous combat. However, to realize the above applications, one of the most basic and important research contents is image classification and recognition in computer vision. The research idea is: first, design a description and memory method of image features; then, use this method to describe and memorize training images, and rec...

Claims

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Application Information

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IPC IPC(8): G06K9/66G06N3/04
CPCG06N3/049G06V30/194
Inventor 陈峰邓飞
Owner TSINGHUA UNIV
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