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Cable porcelain cover terminal infrared image denoising method based on double-variant shrinkage function

A bivariate contraction and infrared image technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of ignoring correlation and unsatisfactory denoising effect

Inactive Publication Date: 2014-07-09
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the soft threshold function denoising method ignores the inter-scale correlation of wavelet coefficients, and the denoising effect is not ideal.

Method used

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  • Cable porcelain cover terminal infrared image denoising method based on double-variant shrinkage function
  • Cable porcelain cover terminal infrared image denoising method based on double-variant shrinkage function
  • Cable porcelain cover terminal infrared image denoising method based on double-variant shrinkage function

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Experimental program
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Embodiment

[0054] This embodiment mainly includes the following steps:

[0055] 1. The basis wavelet is determined as sym4, and the number of wavelet decomposition levels is 3;

[0056] 2. Perform two-dimensional wavelet decomposition on the infrared image to obtain the approximate coefficients on the highest decomposition level and the wavelet coefficients in three directions on different decomposition levels;

[0057] 3. Calculate the absolute value of the correlation coefficient between the scales of the wavelet coefficient;

[0058] 4. Using the fuzzy C-means clustering method, the absolute value of the correlation coefficient obtained in step 3 is divided into the correlation coefficient of the effective wavelet coefficient and the correlation coefficient of the ineffective wavelet coefficient, that is, the wavelet coefficients on each scale are divided into effective wavelet coefficients and Two types of invalid wavelet coefficients;

[0059] 5. Directly zero the invalid wavelet coefficient...

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Abstract

The invention discloses a cable porcelain cover terminal infrared image denoising method based on a double-variant shrinkage function. The cable porcelain cover terminal infrared image denoising method comprises the first step of inputting a cable porcelain cover terminal infrared image needing to be denoised, the second step of obtaining an approximation coefficient on the largest decomposing layer number and wavelet coefficients in the three directions on different decomposing layer numbers, the third step of calculating the correlation coefficient absolute value among the scales of the wavelet coefficients, the fourth step of dividing the wavelet coefficients on each scale into effective wavelet coefficients and ineffective wavelet coefficients, the fifth step of setting the ineffective wavelet coefficients obtained in the fourth step to be zero and processing the effective wavelet coefficients obtained in the fourth step according to the double-variant shrinkage function to obtain the estimated value of the wavelet coefficients of the actual image, and the sixth step of reconstructing two-dimensional wavelets to obtain a denoised infrared image. The cable porcelain cover terminal infrared image denoising method has the advantages that the noise can be removed more effectively and image details can be completely remained.

Description

Technical field [0001] The invention relates to an infrared image processing technology for a medium voltage cable ceramic sleeve terminal, in particular to a method for denoising the infrared image of a cable ceramic sleeve terminal based on a bivariate contraction function. Background technique [0002] Infrared diagnosis technology based on infrared images has been successfully applied to the state detection and fault monitoring of electrical equipment, and has achieved remarkable results in the diagnosis of generator faults and equipment insulation diagnosis. The infrared image detection method of the cable porcelain sleeve terminal has received extensive attention in recent years due to its safety, accuracy, economy and practicality. Whether the infrared image of the cable porcelain sleeve terminal is clear, whether the image details are complete, and whether the characteristics are obvious are the keys to correct diagnosis. The infrared image is affected by the noise of th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 牛海清吴炬卓
Owner SOUTH CHINA UNIV OF TECH
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