Method for sorting radar two-dimension image base on multi-dimension geometric analysis
A technology of geometric analysis and classification methods, applied in the field of image processing, can solve problems such as ineffective representation of images to be classified and failure to reflect the effectiveness of classification features, and achieve the effects of reducing complexity, improving performance, and reducing dimensionality
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[0023] refer to figure 1 , the steps of the present invention are as follows:
[0024] Step 1, input a sample image set, and normalize each image in the sample image set.
[0025] Assuming that the number of sample image sets to be classified is N, denoted as (x 1 , x 2 ,...,x N ); since it is a supervised learning classification algorithm, that is, the support vector machine algorithm, it is necessary to randomly select M images from N images as training sample images, denoted as (x 1 , x 2 ,...,x M );ImageSet(x 1 , x 2 ,...,x N ) pixels are normalized from 0 to 255 to 0 to 1, denoted as (z 1 ,z 2 ,...,z N ). According to Donoho's proof, the normalized image can extract more effective features.
[0026] In step 2, perform three-layer wavelet decomposition and Contourlet decomposition on each sample image after normalization, and obtain 10 wavelet decomposition subbands and 13 Contourlet decompositions respectively corresponding to a sample image.
[0027] For th...
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