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A Bionic Contour Detection Method Based on Dynamic Receptive Field

A technology of contour detection and receptive field, which is applied in the field of bionic contour detection based on dynamic receptive field, can solve the problems of lack of contour information, failure to ensure the integrity of the target contour, and enhancement of texture information, so as to improve the recognition accuracy , improve the degree, and improve the effect of robustness

Active Publication Date: 2020-09-22
GUANGXI UNIVERSITY OF TECHNOLOGY
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the difference in local image information, when the visual system processes information, the size of the receptive field is also changing dynamically. At present, many contour detection models inspired by biology simply simulate part of the physiological characteristics of the visual system. In the process of contour extraction, some visual dynamic characteristics cannot be well simulated, resulting in the lack of contour information and the enhancement of texture information to a certain extent, so that the integrity of the target contour cannot be well guaranteed.

Method used

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  • A Bionic Contour Detection Method Based on Dynamic Receptive Field
  • A Bionic Contour Detection Method Based on Dynamic Receptive Field
  • A Bionic Contour Detection Method Based on Dynamic Receptive Field

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Embodiment 1

[0036] The bionic contour detection method based on the dynamic receptive field provided in this embodiment includes the following steps:

[0037] A. Input the image to be detected through grayscale processing, preset the local area and the radius of the local area, the local area is square, and the side length of the local area is twice the radius of the local area plus one pixel; for each Pixel, calculate the standard deviation of the gray value of each pixel in the local area centered on it, and calculate the obtained standard deviation to obtain the spatial standard deviation of each pixel;

[0038] Described step A is specifically as follows:

[0039] The standard deviation

[0040] The spatial standard deviation

[0041] Among them, R xy Represents the local area, r represents the radius of the local area, and the local area R xy The side length of is (2r+1), is the gray value of the i-th pixel in the local area, N is the number of pixels in the local area, μ ...

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Abstract

The present invention aims to provide a bionic profile detection method based on a dynamic receptive field, comprising the following steps: A, input the image to be detected through gray scale processing, and calculate the spatial standard deviation of each pixel; B, combine each pixel's The spatial standard deviation calculates the optimal response value of the classic receptive field of each pixel; C, calculates the final contour response value of each pixel; D, calculates the final contour value of each pixel. The method overcomes the defects of the prior art, and has the characteristics of good bionic effect and high contour detection rate.

Description

technical field [0001] The invention relates to the field of image contour detection, in particular to a bionic contour detection method based on a dynamic receptive field. Background technique [0002] Contour detection is an important basis for technologies such as object detection, shape analysis, object recognition, and object tracking. In the vision system, the dynamic characteristic runs through the whole process of contour extraction. Due to the difference in local image information, when the visual system processes information, the size of the receptive field is also changing dynamically. At present, many contour detection models inspired by biology simply simulate part of the physiological characteristics of the visual system. In the process of contour extraction, some visual dynamic characteristics cannot be well simulated, resulting in the lack of contour information and the enhancement of texture information to a certain extent, so that the integrity of the targ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/13G06T7/136
CPCG06T7/13G06T7/136
Inventor 林川文泽奇崔林昊王瞿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