A Segmentation Method of Infrared Heat Map of Power Equipment Based on Adaptive Quantization Enhancement

An adaptive quantization, infrared heat map technology, applied in image analysis, image enhancement, image data processing and other directions, can solve the problem of inability to obtain segmentation effect, improve gray dynamic range, remove most interference, and improve anti-noise ability. Effect

Active Publication Date: 2020-07-14
ZHUHAI POWER SUPPLY BUREAU GUANGDONG POWER GIRD CO
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Problems solved by technology

Therefore, conventional image segmentation methods such as region-based, threshold-based and edge-based algorithms cannot achieve good segmentation results.

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  • A Segmentation Method of Infrared Heat Map of Power Equipment Based on Adaptive Quantization Enhancement
  • A Segmentation Method of Infrared Heat Map of Power Equipment Based on Adaptive Quantization Enhancement
  • A Segmentation Method of Infrared Heat Map of Power Equipment Based on Adaptive Quantization Enhancement

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[0051] The accompanying drawings are for illustrative purposes only, and should not be construed as limitations on this patent; in order to better illustrate this embodiment, certain components in the accompanying drawings will be omitted, enlarged or reduced, and do not represent the size of the actual product; for those skilled in the art It is understandable that some well-known structures and descriptions thereof may be omitted in the drawings. The positional relationship described in the drawings is for illustrative purposes only, and should not be construed as a limitation on this patent.

[0052] Such as figure 1 As shown, a method for segmentation of infrared heat maps of power equipment based on adaptive quantization enhancement, which includes the following steps:

[0053] S1. Use the infrared thermal imager to collect the infrared heat map of the target device;

[0054] S2. Judging the area type of the infrared heat map according to the statistical characteristics...

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Abstract

The invention provides a power device infrared chart segmentation method based on adaptive quantization enhancement. The method decomposes the regions of an image based on regional characteristics, is combined with the Retinex theory to carry out gamma transformation on the illumination component, and compensates noise points by using prior information on the reflection component to realize adaptive quantization enhancement of an infrared chart. The gray dynamic range is improved. A multi-scale structure preserving smoothing algorithm is improved. A target device is segmented based on adaptive quantization enhancement. The method has the advantage of great anti-noise ability, can segment one or more target devices to remove most interference, and prevents the structure of the target devices from being damaged.

Description

technical field [0001] The invention relates to the technical field of infrared image processing, and more particularly, to a method for segmenting infrared thermal images of power equipment based on adaptive quantization enhancement. Background technique [0002] In the process of outdoor power production, power equipment operates under high voltage and high current conditions, and it is difficult and dangerous to manually monitor the status of power equipment and diagnose fault points. With the development of computer vision technology, automatic monitoring and troubleshooting will become an important means of future power equipment maintenance. At present, a common method is to use an infrared thermal imager to scan the power equipment to obtain the temperature distribution on the two-dimensional image, and find out the temperature anomalies. However, due to the characteristics of large noise interference and low image contrast in infrared thermal images, infrared image ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/194G06T7/136
CPCG06T7/136G06T7/194G06T2207/10048G06T2207/20182G06T2207/20192
Inventor 肖立军秦慧平丘冠新邢晓芬黄培专麦锐杰陈基顺吴伟力万新宇张泽林
Owner ZHUHAI POWER SUPPLY BUREAU GUANGDONG POWER GIRD CO
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