Image sorting method based on local colors and distribution characteristics of characteristic points
A feature point and image technology, applied in the field of image processing, can solve the problems of less feature point spatial distribution structure, affecting image accuracy, insufficient image feature description effectiveness, etc., to achieve the effect of overcoming matching errors and accurate description.
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[0034] The present invention will be described in further detail below with reference to the drawings.
[0035] Reference figure 1 The image picking steps of the present invention are as follows:
[0036] Step 1. Normalize and detect feature points for a specified target image.
[0037] (1.1) Scale normalization of target image
[0038] The target image Q(x, y) is normalized according to the following formula:
[0039] Q′(x,y)=Q(x / a,y / a)
[0040] Among them, Q'(x, y) is the target image after the scale is normalized, (x, y) represents the coordinates of the image pixels, Represents the scaling factor, β is a constant, Is the 0th order geometric moment of Q(x,y).
[0041] (1.2) Rotation normalization of target image
[0042] Calculate the normalized rotation angle θ of the target image Q′(x,y) after the scale is normalized:
[0043] θ=arctan(-t 1 / t 2 )
[0044] Where t 1 And t 2 Are two tensors, t 1 =μ 12 +μ 30 , T 2 =μ 21 +μ 03 ,
[0045] μ 12 , Μ 30 , Μ 21 , Μ 03 Are the four third-order ...
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