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LBP-based image feature extraction method

An image feature extraction and image technology, applied in the field of image processing, can solve the problems of complex background, unclear target representation information, difficulty in pattern recognition, etc., and achieve high-precision results.

Active Publication Date: 2016-07-06
DALIAN ROILAND SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

For example, the complex background and target representation information are not clear, causing difficulties in pattern recognition

Method used

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  • LBP-based image feature extraction method
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  • LBP-based image feature extraction method

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Embodiment Construction

[0040] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0041] like figure 1 As shown, it is the traditional LBP feature calculation process (take the 3*3 scale operator as an example), and its essence is the comparison information between the current central pixel and surrounding pixels. Compare the current center pixel with its surrounding pixels: if the pixel value of the surrounding pixel is greater than or equal to the pixel value of the current central pixel, it is recorded as 1, and if the pixel value is smaller than the current central pixel, it is recorded as 0. Get the binary encoding in order (clockwise or counterclockwise, the same order remains in the same process), figure 1 In Pattern=11110001, LBP=1+16+32+64+128=241.

[0042] like figure 2 shown. Taking the situation in the figure as an example, three sizes of the preprocessed image are taken: the original image size, 1 / 2 size, ...

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Abstract

The invention relates to an LBP-based image feature extraction method comprising the following steps: taking a preprocessed image in three dimensions, namely, an original image, a 1 / 2-size image and a 1 / 4-size image; adopting a 3*3 LBP operator and a 5*5 LBP operator to calculate the LBP features of the original image size, 1 / 2 size and 1 / 4 size; and combining the obtained LBP features into a feature vector. According to the invention, LBP operators of different scales have the same order of magnitude and perfectly express the sample characteristics. Through the method, image texture information can be expressed completely, and high accuracy can be achieved in subsequent classification, identification and other work.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image feature extraction method based on LBP. Background technique [0002] The texture information of the image is the unique attribute of the target, which can represent the inherent characteristics of the target. At present, image texture feature extraction has become the focus of research in the field of pattern recognition and machine learning. Commonly used texture feature extraction methods mainly include: statistical methods, model methods, filtering methods, etc. [0003] Local Binary pattern (LocalBinarypattern) is currently a widely used texture feature extraction method. It is a local texture description operator with better texture expression ability. The calculation process is: taking a 3*3 window as an example, compare the gray value of the center pixel of the window with the surrounding adjacent pixels, and if it is greater than or equal to the value of the c...

Claims

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Application Information

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IPC IPC(8): G06K9/46
CPCG06V10/457
Inventor 田雨农林琳周秀田于维双陆振波
Owner DALIAN ROILAND SCI & TECH CO LTD