Improved non-classical receptive field-based bionic contour detection method
A technology of non-classical receptive field and classical receptive field, which is applied in the field of image processing, can solve the problems of increasing the time cost of the contour detection process, and cannot realize the automatic division of the suppression area, so as to achieve the best suppression effect and improve the operation efficiency.
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[0039] Example 1
[0040] A bionic contour detection method based on improved non-classical receptive fields, including the following steps:
[0041] A. Input the to-be-detected image processed by grayscale;
[0042] B. Preset a Gabor filter function containing multiple direction parameters. For each pixel in the image to be detected, the Gabor filter function is used to calculate the Gabor energy to obtain the Gabor energy value of each pixel in each direction; for each pixel, Select the maximum value of Gabor energy values in each direction as the classical receptive field stimulus response of the pixel, and the direction corresponding to the maximum value is the optimal direction of the pixel;
[0043] The step B is as follows:
[0044] The expression of the Gabor filter function is as follows:
[0045]
[0046] among them γ is a constant representing the ratio of the long and short axis of the elliptical receptive field, the parameter λ is the wavelength, σ is the scale, and 1 / λ ...
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