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Texture classification method on basis of fractional Fourier transform (FrFT)

A technology of fractional Fourier transform and texture classification, which is applied to instruments, character and pattern recognition, computer components, etc., can solve the problems of low time-frequency resolution and inability to achieve correct segmentation, and achieve the goal of avoiding cross-term problems Effect

Active Publication Date: 2014-01-22
HARBIN ENG UNIV
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Problems solved by technology

On the other hand, if the time-frequency transform contains non-linear terms, the method will inevitably be affected by cross terms, which are sometimes so severe that correct segmentation cannot be achieved
Although linear transformations such as Gabor are not affected by cross terms, the time-frequency resolution of these linear methods is generally not high

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  • Texture classification method on basis of fractional Fourier transform (FrFT)
  • Texture classification method on basis of fractional Fourier transform (FrFT)
  • Texture classification method on basis of fractional Fourier transform (FrFT)

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Embodiment Construction

[0026] The following examples describe the present invention in more detail:

[0027] Step 1: Acquire an image I, the image I is a grayscale texture image with a size of N×N, (x, y) is a position coordinate in the texture image, where x=1,2,...,N ;y=1,2,...,N, I(x,y) represents the gray value of the texture image I at (x,y), and d=0,1,2,3 respectively represent the 0 shown in Figure 1 degree direction, 45 degree direction, 90 degree direction and 135 degree direction, I d (x, y, m) represents the gray value of the mth neighbor pixel of the pixel (x, y) in the d direction, where m=1,2,3,4,5;

[0028] Calculate the one-dimensional discrete FrFT of each pixel of the image in four directions:

[0029] First, for the point (x, y) in the image I, according to Fig. 1, the neighborhood sequences of (x, y) in the directions of 0 degrees, 45 degrees, 90 degrees and 135 degrees are obtained, and the obtained neighborhood pixel sequences are defined by { I d (x,y,m)|d=0,1,2,3,m=1,2,3,4...

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Abstract

The invention provides a texture classification method on the basis of fractional Fourier transform (FrFT). The texture classification method comprises the following steps: (1) acquiring an image and calculating one-dimensional discrete FrFT of each pixel of the image in four directions; (2) carrying out descending sorting on each obtained one-dimensional discrete FrFT according to amplitudes; (3) calculating a fractional Fourier frequency histogram; and (4) carrying out classification on the texture image by utilizing a chi2- statistical distance classifier. The invention provides the texture classification method which is on the basis of FrFT and comprehensively utilizes the fractional Fourier frequency histogram and the chi2- statistical distance classifier. The texture classification method provided by the invention has the main effect of avoiding the problem of cross terms of Wigner distribution.

Description

technical field [0001] The invention relates to a method for classifying texture images. Background technique [0002] Texture is a visual feature that reflects homogeneity in an image that does not depend on color or brightness changes. Texture describes the distribution law of gray space in the image pixel neighborhood. In the real world, textures are ubiquitous, from the natural sky and grass to the common brick walls and cloth in daily life, which all have obvious texture characteristics. In the field of computer vision, texture classification is widely used in medical image processing, agricultural image segmentation, food quality supervision, and satellite image analysis as an important means of understanding real visual patterns. [0003] The key issue of texture classification is how to describe the texture. Existing texture description methods include: gray level co-occurrence matrix [1], bidirectional texture function [2], local binary mode [3], affine adaptive ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 郑丽颖石大明田凯
Owner HARBIN ENG UNIV
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