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A Biomimetic Contour Detection Method Based on x,y Parallel Vision Channel Response

A contour detection and bionic technology, applied in the field of image processing, can solve the problems of low contour recognition rate and poor simulation effect.

Active Publication Date: 2020-09-15
GUANGXI UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0004] The present invention aims to provide a bionic contour detection method based on X and Y parallel visual channel responses, which overcomes the defects of poor simulation effect and low contour recognition rate in the prior art, and has the characteristics of good simulation effect and high contour recognition rate

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  • A Biomimetic Contour Detection Method Based on x,y Parallel Vision Channel Response
  • A Biomimetic Contour Detection Method Based on x,y Parallel Vision Channel Response
  • A Biomimetic Contour Detection Method Based on x,y Parallel Vision Channel Response

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Embodiment 1

[0064] Such as figure 1 As shown, the bionic contour detection method based on X, Y parallel visual channel responses provided by this embodiment includes the following steps:

[0065] A, input the image to be detected through grayscale processing, and construct the X-type cell and Y-type cell simulation model in the retinal ganglion cells and the outer geniculate body;

[0066] B. Calculation of the initial response value of type X cells:

[0067] The X-type center two-dimensional Gaussian function, the X-type peripheral two-dimensional Gaussian function, and the X-type center peripheral antagonism strength are preset. The spatial standard deviation of the X-type peripheral two-dimensional Gaussian function is greater than the X-type center two-dimensional Gaussian function. For each pixel, The X-type central two-dimensional Gaussian function and the X-type peripheral two-dimensional Gaussian function are used to perform two-dimensional Gaussian filtering on the gray value, ...

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Abstract

The invention provides a bionic profile detection method based on X, Y parallel visual channel responses, comprising the following steps: A, input the image to be detected through gray scale processing, and construct retinal ganglion cells and X-type cells in the outer geniculate body and Y-type cell simulation models; calculation of initial response values ​​of B and X-type cells; calculation of initial response values ​​of C and Y-type cells; calculation of classic receptive field response values ​​of D, X, and Y-type cells; , the calculation of the contour response value of the Y-type cell; F, the calculation of the final contour response value; G, the calculation of the final contour response value. The method overcomes the defect of low contour recognition rate in the prior art, and has the characteristics of good simulation effect and high contour recognition rate.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a bionic contour detection method based on X and Y parallel visual channel responses. Background technique [0002] The contour defines the shape of the target, and the contour is one of the important tasks in target recognition, and obtaining the target contour from the cluttered scene is an important and quite difficult task, mainly because there are usually a large number of textured background edges around the contour, so This work mainly needs to exclude nonsensical edges due to textured regions while preserving object contours. The key to improving the detection rate is to optimize the integration of local information into consistent global features based on context. The human visual system has the ability to quickly and effectively extract contour features from complex scenes, which effectively promotes the development of contour detection algorithms inspired by biological...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/13
CPCG06T7/13G06T2207/30041
Inventor 林川万术娟乔亚坤张晓潘勇才刘青正张玉薇李福章张晴王垚王蕤兴韦艳霞
Owner GUANGXI UNIVERSITY OF TECHNOLOGY
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