Method for detecting weak edges of images on basis of discharge information of multilayer neuron groups

A detection method and neuron technology, applied in the field of image processing, can solve problems such as over-segmentation, insufficient weak edge performance, noise sensitivity, etc., and achieve the effect of obvious edge features

Active Publication Date: 2014-03-26
盐城市凤凰园科技发展有限公司
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Problems solved by technology

Traditional edge detection methods, such as the Sobel operator based on mathematical differentiation methods, u...

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  • Method for detecting weak edges of images on basis of discharge information of multilayer neuron groups
  • Method for detecting weak edges of images on basis of discharge information of multilayer neuron groups
  • Method for detecting weak edges of images on basis of discharge information of multilayer neuron groups

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Embodiment Construction

[0020] Such as figure 1 As shown, I_old(i,j) represents the original input image; T 1 (i, j) represents the time matrix obtained after passing through the input layer neuron group; D(i, j) represents the variance matrix after variance processing; V 1 (i, j) represents the attention matrix of matrix D(i, j) after neuron lateral inhibition; V 2 (i, j) represents the matrix V 1 (i,j) Attention matrix after mapping; f k (i,j)(k=0,1,...,7) is the Log-Gabor filter with angle θ i (θ i =22.5 0 *i,i=0,1,...,7) the result after filtering; T 2 (i, j) represents the time matrix obtained after passing through the output layer neuron group; F(i, j) represents the matrix T 2 (i,j) The edge matrix obtained after neuron lateral inhibition; I_new(i,j) represents the final image weak edge detection result.

[0021] The present invention considers: (1) the traditional edge detection method does not perform enough for weak details, and sometimes produces the problem of over-segmentation; (...

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Abstract

The invention relates to a method for detecting weak edges of images on the basis of discharge information of multilayer neuron groups. The method includes constructing the multilayer neuron groups with interconnected inhibitory synapses, inputting digital images into input-layer neuron groups and representing image pixels by the time-space information of first discharge of various neurons; describing space details of the images by time variances by the aid of visual receptive fields and discharge time sequences of the various neurons, selecting attentive mechanisms in the consideration of lateral inhibition so as to acquire visual attention data of information of the images; implementing space variable-resolution mechanisms on the basis of a combination of selective attention procedures by the aid of Log-Gabor multi-direction filter results, acquiring reconstructed information of the edges of the images and reinforcing the information of the edges of the images by the aid of output-layer neuron groups. The method has the advantages that a synapse interconnection characteristic of the neuron groups is taken into consideration; simple visual information procedures of cortices are reflected by the aid of multi-direction filter mechanisms; the weak edges of the images can be effectively detected by the aid of the multilayer neuron groups.

Description

technical field [0001] The invention belongs to the field of image processing, and relates to an image weak edge detection method based on discharge information of multi-layer neuron groups. Background technique [0002] The image edge refers to the area where the gray value or color of the image changes rapidly. This area contains a large amount of key information of the image, such as outline, texture, light and shade, etc., which is very important for feature extraction, target recognition, and even object perception. The subsequent processing of the image is very important, and irrelevant information can be eliminated through edge detection, thereby greatly reducing the amount of data that needs to be processed and improving the processing speed, so the effective detection of image edges is of great significance. Traditional edge detection methods, such as the Sobel operator based on mathematical differentiation methods, usually do not perform well for weak edges, someti...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 范影乐廖进文方芳罗佳骏武薇
Owner 盐城市凤凰园科技发展有限公司
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