Contour Detection Method Based on Spatial Sum Modulation of Nonclassical Receptive Fields

Abstract

The invention aims at providing a contour detection method based on non-classical receptive field space summation modulation. The method comprises the steps that 1, a to-be-detected image subjected to grey-scale processing is input; 2, Gabor filtering is conducted on the to-be-detected image to obtain Gabor energy values of all pixel points in all directions; 3, a space summation modulation weight of a non-classical receptive field to a central neuron is calculated out; 4, modulation response of the non-classical receptive field to the central neuron on a distance weight is calculated out; 5, stimulating response of the central neuron to the non-classical receptive field is obtained through calculation; 6, stimulating response of the central neuron to combined modulation of a classical receptive field and the non-classical receptive field is obtained through calculation and serves as a corresponding contour value; 7, non-maximum suppression and double-threshold processing are conducted on the contour values of all the pixel points, and final contour values of all the pixel points are obtained. The contour detection method based on non-classical receptive field space summation modulation overcomes the defects that in the prior art, the simulation effect is poor, and the contour recognition rate is low and has the advantages of being good in simulation effect and high in contour recognition rate.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a contour detection method based on non-classical receptive field space sum modulation. 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 biologic...

AI Technical Summary

Problems solved by technology

[0004] The present invention aims to provide a contour detection method based on non-classical receptive field space sum modulation, 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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