Target detection method based on sparse representation and visual cortex attention mechanism
An attention mechanism and sparse representation technology, applied in the field of image processing, can solve the problems of ignoring the saliency or the position of the target, not being able to find the salient area of the image, and not being able to simulate the "position path" of the human brain, so as to avoid high computational complexity, The effect of high accuracy rate and high detection accuracy
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[0036] Attached below figure 1 The steps of the present invention are further described in detail.
[0037] Step 1, input the image to be detected.
[0038] Step 2, use Gabor filter banks with 16 scales and 4 directions to perform Gabor filtering on the input image to be detected, and extract the S1 layer cells of the HMAX model.
[0039] Use the following formula to construct a Gabor filter bank:
[0040] G ( x , y ) = exp ( - x 0 2 + γ 2 y 0 2 2 σ 2 ) × cos ...
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