A vector filtering method of double-threshold type color image
A color image and vector filtering technology, which is applied in image enhancement, image data processing, instruments, etc., can solve problems such as image blur and noise, and achieve the effect of reducing the possible effect of wrongly changing the pixels of the original image
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[0014] The main idea of this method is to first judge whether the current point in the filter window is impulse noise, if so, select the vector with the smallest output order; if not, keep the original pixel content unchanged. Perform the above operations on all points in the graph in turn. Such as figure 2 , a specific implementation of the method is as follows:
[0015] Step S201: Get the current point x c The pixels within the filter window size N form a filter vector set W={x 1 ,...,x c ,...x N};
[0016] Step S202: Calculate the mutual distance according to the Euclidean distance of the pixel vector, D(i, j)=∥x i -x j ‖, if the vector is a ternary vector, a vector in a common color space such as RGB and HSV, you can use the Euve vector distance | | x i - x j | | = ( ...
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