Image classification method based on visual cortex processing mechanism and pulse supervised learning
A processing mechanism and visual cortex technology, applied in the field of image processing, can solve the problems of low efficiency and low classification accuracy of pulse neural network, and achieve high efficiency, high classification accuracy and good image classification effect
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[0036] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0037] The image classification method based on visual cortex processing mechanism and impulse supervised learning in the present embodiment comprises the following steps:
[0038] 1) The image is input in the form of a dynamic picture, and the image is expressed as the light intensity distribution I(x, y, t) about the picture pixel position (x, y) and time t; then in three different time-space scales r=0 , 1, 2 to process the input, the first scale r=0, the input at this time is equivalent to the original input, and the other two scales need to continuously use a Gaussian kernel function to fuzz the input of the previous scale; three kinds of input I r (x, y, t) is expressed as:
[0039] I 0 (x, y, t) = I(x, y, t)
[0040]
[0041]
[0042] Where * represents the convolution operation, and then uses a three-dimensional Gaussian filter to filt...
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