Method for performing image segmentation by using manifold spectral clustering
An image segmentation and spectral clustering technology, applied in the field of image processing, can solve the problems of long time, low segmentation efficiency, unstable results, etc., and achieve the effect of short time and high segmentation efficiency.
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[0024] refer to figure 1 , the implementation steps of the present invention include as follows:
[0025] Step 1, extract the fusion features of the input image.
[0026] (1.1) Input an image, extract the color features of the image in the Luv color space, and the color features of all pixels form a matrix F of size N*3 C ={f L , f u , f v}, each row represents the color feature of a pixel, N represents the number of pixels in the image, f L , f u , f v Respectively represent the characteristics of the luminance component L, the chromaticity coordinate component u and the chromaticity coordinate component v of the Luv color space;
[0027] (1.2) Using three-layer wavelet decomposition, 10-dimensional texture features are obtained on each pixel, and the texture features of all pixels form a matrix F of size N*10 W ={f 1 , f 2 ,..., f 10}, each row represents the texture feature of a pixel, fi Represents the i-th dimension texture feature i=1, 2...10;
[0028] (1.3) ...
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