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Computer image processing and recognition technology under the background of new energy digitisation

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  • Qinghua Feng

Abstract

From a mathematical point of view, image segmentation is the process of dividing a digital image into mutually disjoint regions. Nowadays, the development of new energy has become an indispensable part. Therefore, it is of great significance to study computer image processing and recognition technology under the background of new energy digitisation. This paper introduces the theoretical knowledge of computer graphics, computer science and other related disciplines commonly used in computer vision algorithm, analyses some problems and defects in its practical application, and how to better solve these defects, and puts forward corresponding solutions to improve the reference value of new energy digital informatisation, and provide some help for environment-friendly development. Then this paper introduces the processing methods of computer image processing and recognition technology. According to the application of the algorithm, this paper uses denoising and recognition technology to test the corresponding performance for the image blur caused by different noises. Finally, the test results show that the gray transformation can filter out the image noise and better maintain the edge definition and contour information of the image. The restoration results obtained by wavelet transform method are excellent. Denoising the observation data first and then constructing the weight matrix can get better denoising effect.

Suggested Citation

  • Qinghua Feng, 2024. "Computer image processing and recognition technology under the background of new energy digitisation," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 46(1/2), pages 1-17.
    • Handle: RePEc:ids:ijgeni:v:46:y:2024:i:1/2:p:1-17
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