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Texture elementary feature extraction method for synthetizing aperture radar images

A synthetic aperture radar and texture primitive technology, which is applied in the field of image processing to achieve the effect of improving the classification accuracy

Inactive Publication Date: 2011-09-14
WUHAN UNIV
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Problems solved by technology

In the past, texture analysis lacked effective analysis of textures at different scales. Different scales here refer to the same image, and texture analysis is performed on different scales.

Method used

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  • Texture elementary feature extraction method for synthetizing aperture radar images
  • Texture elementary feature extraction method for synthetizing aperture radar images
  • Texture elementary feature extraction method for synthetizing aperture radar images

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Embodiment Construction

[0035] see figure 1 , the technical solution of the present invention comprises the following steps:

[0036] Step 1, calculate each pixel point P in the image for each image in the training set x，y The corresponding estimated vector V x，y , combined to obtain the estimated vector {V x，y} all ,

[0037] Step 2, the estimated vector {V x，y} all Perform clustering, and the texture primitive codebook C obtained by clustering is the texture primitive;

[0038] Step 3, calculate the feature image to be extracted for each pixel point P in the image x，y The corresponding estimated vector V x，y , combined to obtain the estimated vector {V x，y} one , and the estimated vector {V x，y} one Label with the texture primitive codebook C generated in step 2, denoted as {M x，y} one ;

[0039] Step 4, statistical image label {M x，y} one Get the label histogram, denoted as H Mark , labeled histogram H Mark is the statistical texture primitive feature of the image;

[0040] In ...

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Abstract

The invention relates to a texture elementary feature extraction method for synthetizing aperture radar images, comprising the followings: the estimated vectors corresponding to each pixel point of each image of image in a training set are obtained, and the estimated vectors corresponding to all pixel points of all images in the training set are combined; the estimated vectors are clustered to obtain texture elementary code that is texture elementary element; the estimated vectors corresponding to each pixel point in image are obtained for the feature image to be extracted, the estimated vectors corresponding to all pixel points in image are obtained after combination, and the estimated vectors are marked by using the texture elementary code; and the statistics of image marks is carried out to obtain mark histogram that is the statistics texture elementary feature of image. The invention is combined with distributional characteristics, space characteristics and dimension characteristics of image to improve the classification correctness of synthetizing aperture radar images, thereby improving the accuracy of image processing application such as classification and division based ontexture elementary feature.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a texture primitive feature extraction method for synthetic aperture radar images. Background technique [0002] In computer vision and image processing, the change of image brightness forms a specific repetitive pattern, which is called texture. Texture is a ubiquitous visual phenomenon. People can feel texture, but it is difficult to form a precise definition of texture. unified understanding. There is currently no widely accepted definition of texture. It is generally believed that texture is the change or repetition of image grayscale or color in space. The gray level distribution in the texture image generally has some regularity, and it also has some statistical characteristics for random textures. There is currently the following consensus on textures: [0003] a) The texture is represented by a certain local sequence that is continuously repeated in a larger ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/90
Inventor 何楚魏喜燕陶珮孙洪
Owner WUHAN UNIV
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