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A Method of Image Feature Extraction Based on lbp

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

Active Publication Date: 2019-07-19
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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  • A Method of Image Feature Extraction Based on lbp
  • A Method of Image Feature Extraction Based on lbp
  • A Method of Image Feature Extraction Based on lbp

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Experimental program
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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] Such as 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] Such as 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 ...

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Abstract

The invention relates to an image feature extraction method based on LBP. The present invention takes the pre-processed picture into three sizes: the original picture, the 1 / 2 size picture, and the 1 / 4 size picture; respectively, the LBP operators whose scales are 3*3 and 5*5 are used to calculate the size of the original picture , LBP features of 1 / 2 size and 1 / 4 size; the LBP features obtained above are combined to form a feature vector. The present invention enables LBP operators of different scales to have the same order of magnitude, and jointly and perfectly express sample features. The present invention can realize the complete expression of picture texture information, and can provide higher precision for subsequent work such as classification and recognition.

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 (Local Binary pattern) is currently 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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Patent Type & Authority Patents(China)
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