Extraction method of histogram texture descriptor in muti-contrast mode
An extraction method and histogram technology, applied in the field of image processing, can solve the problem that the technology of SAR image ground object classification has not yet appeared, and achieve the effect of high efficiency, simplicity and good expression of texture features.
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[0014] Four basic scattering models based on microwave imaging (such as figure 1 ), different ground objects show different scattering characteristics in the process of SAR imaging, and the present invention proposes that the difference of ground object categories in SAR images is mainly reflected in two aspects: black, gray, and white (target) in the image The size of the area and the contrast strength of these patterns in the image. The present invention studies the discriminative ability of these modes for the classification of SAR image features for the above two attributes, and proposes a feature description extraction scheme. See the specific process figure 2 .
[0015] The principle and related definitions of the multi-contrast local pattern histogram feature descriptor will be described below through an embodiment.
[0016] (1) Image quantization
[0017] The gray value of all pixels in the sliding window must be compared with the gray value of the center pixel and...
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