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Texture classifying method based on phase coincidence

A texture classification and consistent technology, applied in the field of image processing, can solve problems affecting classification results, image texture effects, etc., and achieve good robustness and high classification accuracy

Inactive Publication Date: 2006-05-24
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

The existing texture analysis methods are all based on the amplitude information of the image, that is, the grayscale and color of the image, and are affected by environmental factors such as illumination and contrast. Once these conditions change, the texture of the image will be affected, thus Affect classification results

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  • Texture classifying method based on phase coincidence
  • Texture classifying method based on phase coincidence
  • Texture classifying method based on phase coincidence

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Embodiment Construction

[0015] The technical solution of the present invention will be further described in detail below in conjunction with specific embodiments.

[0016] The experimental images used in the embodiments of the present invention are natural images of the Brodatz natural texture set. Whole invention realization process is as follows:

[0017] 1. First select an image block of an appropriate size from the original image. The image blocks of four images: D19 (wool fabric), D29 (beach sand), D68 (wood texture) and D84 (raffia fiber) are as follows figure 1 .(a), (b), (c) and (d) (for the sake of image clarity, take an image block of 128×128 pixels as an example). In the classification experiment, image blocks of 256×256, 128×128, 64×64, 32×32 pixels and 16×16 pixels were selected as experimental images.

[0018] 2. Compute the initial phase-consistent image. The original image block I(x, y) is convolved with the 2Dlog-Gabor filter bank through the following transfer function:

[0019...

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Abstract

The method includes steps: carrying out convolution between image block selected from original image and 2D log-Garbor filter so as to obtain phase coincidence image; restraining maximum and using double threshold method obtains phase coincidence mapped image i.e. texture edge image; then, calculating Shannon entropy of co-occurrence matrix of texture edge; finally, carrying out classification by using support vector machine and classifier. Characteristic point can be considered as a point with maximum phase coincidence among each harmonic wave of Fourier decomposition of signal, and the characteristic point possesses invariability of darkness / brightness of light beam and contrast. Advantages are: high precision of classification and good robustness.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to a texture classification method based on phase consistency. Background technique [0002] Texture is a synthesis of local features of a visually perceived image, and it is a pattern produced by grayscale or color changes in a certain form in space. There are many existing image texture analysis methods, mainly statistical methods, model-based methods and signal processing methods. The existing texture analysis methods are all based on the amplitude information of the image, that is, the grayscale and color of the image, and are affected by environmental factors such as illumination and contrast. Once these conditions change, the texture of the image will be affected, thus affect the classification results. [0003] After searching the prior art documents, it was found that "Texture classification using spectral histograms" (" Texture Classification Based o...

Claims

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Application Information

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IPC IPC(8): G06T7/40
Inventor 曹桂涛施鹏飞
Owner SHANGHAI JIAO TONG UNIV