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Annular LBP texture generating method

A ring and texture technology, applied in image data processing, instrumentation, calculation, etc., can solve the problems of reducing the ability to distinguish LBP texture features, high computational complexity, unfavorable real-time processing, etc., and achieve short operation speed and low hormone complexity , fast effect

Inactive Publication Date: 2014-03-26
HOHAI UNIV
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AI Technical Summary

Problems solved by technology

[0003] Local Binary Pattern (LBP) is a relatively successful texture feature extraction method in the field of pattern recognition such as remote sensing image processing and human recognition. LBP is obtained by calculating the difference between the pixel values ​​​​of the central pixel and neighboring pixels. There are the following Problems: First, this method has a certain amount of information redundancy, and some pixels participate in repeated calculations, so it has high computational complexity, which is not conducive to real-time processing; second, this method fails to consider neighboring pixels The relationship between them, and the size relationship between neighboring pixels also contains a lot of information, so the traditional method reduces the ability of LBP to distinguish the texture features of real images.

Method used

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Embodiment Construction

[0019] The present invention will be further described below in conjunction with the accompanying drawings.

[0020] Such as figure 1 and figure 2 Shown, a kind of annular LBP texture generation method of the present invention comprises the following steps:

[0021] (1) Establish a four-point ring binary model: select a specific pixel in the image, a pixel adjacent to the right of the specific pixel, a pixel below the specific pixel, and a pixel below the specific pixel to the right , the four pixels form a 2×2 pixel block, and the corresponding weights are given to these four pixels, and they are arranged clockwise from a specific pixel point, and the weight of each pixel point is s=2 2i-1 , i=1, 2, 3, 4;

[0022] (2) Starting from a specific pixel point, compare the difference between the pixel point and the next pixel point in the clockwise direction of the pixel point in turn, if the difference value is greater than or equal to 0, then the LBP code corresponding to the...

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Abstract

The invention relates to an annular LBP texture generating method. The method includes: extending into a 2*2 four-point mode by using one specific pixel point as the left upper corner, and performing weighted coding according to the clockwise side of the four pixel points to serve as the feature value of the specific pixel point. The annular LBP texture generating method is good in extracting effect, fast, short in operation time, and wide in application range, and no information redundancy is generated.

Description

technical field [0001] The invention relates to an image texture method, in particular to a ring LBP texture generation method. Background technique [0002] With the development of pattern recognition and machine vision such as remote sensing image analysis, face recognition and target tracking, texture analysis methods are playing an increasingly important role. Pattern recognition in becomes difficult. A large number of texture analysis methods that have emerged in recent years depend on the images involved in both real-time and accuracy. [0003] Local Binary Pattern (LBP) is a relatively successful texture feature extraction method in the field of pattern recognition such as remote sensing image processing and human recognition. LBP is obtained by calculating the difference between the pixel values ​​​​of the central pixel and neighboring pixels. There are the following Problems: First, this method has a certain amount of information redundancy, and some pixels partic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 徐南马成陈逸凡马符讯艾斯卡尔·阿不力米提黄卓严朝霞万月
Owner HOHAI UNIV
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