Image Strong and Weak Edge Detection Method Based on Lattice Neuron Response Spatial-Temporal Information
An edge detection and neuron technology, applied in the field of image processing, can solve the problems of image over-segmentation, loss of weak details, etc., to achieve the effect of satisfying subjective evaluation
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[0018] The following is attached figure 1 The present invention is described further, in figure 1 Where I_old(i,j) represents the original input image; 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) filtered results; Neuron(i,j) indicates the lattice neuron used; T(i,j) indicates the first time recorded after the lattice neuron model The time matrix of discharge time; D(i,j) represents the variance matrix after variance processing; F(i,j) represents the edge matrix after neuron lateral inhibition; I_new(i,j) represents the final result image .
[0019] The concrete steps of the inventive method are:
[0020] Step (1) makes the original image I_old(i,j) (i=1,2,...,M;j=1,2,...,N) preprocessed by the Log-Gabor filter to obtain The angle is θ i (θ i =22.5 0 *i,i=0,1,...,7) results in 8 directions, denoted as f k (i,j)(k=0,1,...,7). Then use formula (1) to reconstruct the edge information of the image:
[0021] ...
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