Transformer oil image enhancement method based on gridded gray world white balance algorithm
By gridding the transformer oil image and using the grayscale world white balance algorithm improved by the weighted surround standard deviation, combined with the boundary entropy mechanism, the problem of image color distortion in oil-immersed transformers is solved and the image enhancement effect is improved.
Patent Information
- Application Number
- CN202311192748.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-09-15
- Publication Date
- 2025-09-09
- Estimated Expiration
- 2043-09-15
AI Technical Summary
In existing technologies, in oil-immersed transformers, images captured by robots suffer from color distortion due to changing lighting environments. Traditional grayscale world white balance algorithms perform poorly in scenes with single color blocks or those with limited colors, and cannot effectively eliminate the impact of the lighting environment on color appearance.
The gridded grayscale world white balance algorithm is adopted to grid the transformer oil image, and the grayscale world white balance algorithm improved by the surround view standard deviation weighting is used for enhancement processing. The gain coefficient is adjusted in combination with the limit entropy mechanism to improve the image quality.
The enhancement effect of images under transformer oil is improved, the color distortion problem of traditional methods in single color blocks and scenes with not rich colors is solved, and the image quality is improved without causing overexposure.
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Figure CN117218022B_ABST
Abstract
Citation Information
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