Bilateral Filtering Algorithm Based on Homogeneous Region Segmentation

A homogeneous area and bilateral filtering technology, which is applied in the field of hyperspectral image processing, can solve the problems of too many non-similar structure pixel features, etc., and achieve the effect of reducing the negative impact of the output value, good contrast, and obvious boundaries
CN110163874BActive Publication Date: 2022-05-20BEIBU GULF UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
BEIBU GULF UNIV
Publication Date
2022-05-20

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Abstract

The bilateral filtering algorithm based on homogeneous region segmentation provided by the present invention first utilizes the spatial continuity of the physical characteristics of each pixel in the hyperspectral image to segment the hyperspectral image into several homogeneous regions with similar spectra, and then Each pixel in a homogeneous area is sequentially subjected to bilateral filtering, and finally an output image is obtained. Therefore, the number of non-structurally similar pixels in the bilateral filtering template corresponding to the pixel is greatly reduced, and the structural similarity of each pixel in the bilateral filtering template is relatively high, thereby greatly reducing the weight distribution of non-structurally similar pixels and reducing the non-structural similarity. The problem that pixels have a large negative impact on the output value of bilateral filtering, the boundary in the output image is more obvious, and the contrast is good.
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Description

technical field

[0001] The invention relates to the field of hyperspectral image processing, in particular to a bilateral filtering algorithm based on homogeneous region segmentation. Background technique

[0002] With the development of science and technology, hyperspectral remote sensing technology has been greatly developed. Hyperspectral data can be represented as a hyperspectral data cube, which is a three-dimensional data structure. Hyperspectral data can be regarded as a three-dimensional image, and one-dimensional spectral information is added to the ordinary two-dimensional image. Its spatial image describes the two-dimensional spatial characteristics of the earth's surface, and its spectral dimension reveals the spectral curve characteristics of each pixel in the image, thus realizing the organic fusion of remote sensing data spatial dimension and spectral dimension information. Hyperspectral remote sensing images contain rich spectral information, can provide sp...

Claims

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