Accurate Segmentation Algorithm of Video Dynamic Background Image Based on Improved Wavelet Transform


Ming Ming, Journal of Information Processing Systems Vol. 18, No. 5, pp. 711-718, Oct. 2022  

https://doi.org/10.3745/JIPS.02.0184
Keywords: Dynamic Background Image, Image Segmentation, Improved Wavelet Transform, Video Image
Fulltext:

Abstract

In this paper, an accurate segmentation algorithm of video dynamic background image (VDBI) based on improved wavelet transform is proposed. Based on the smooth processing of VDBI, the traditional wavelet transform process is improved, and the two-layer decomposition of dynamic image is realized by using two- dimensional wavelet transform. On the basis of decomposition results and information enhancement processing, image features are detected, feature points are extracted, and quantum ant colony algorithm is adopted to complete accurate segmentation of the image. The maximum SNR of the output results of the proposed algorithm can reach 73.67 dB, the maximum time of the segmentation process is only 7 seconds, the segmentation accuracy shows a trend of decreasing first and then increasing, and the global maximum value can reach 97%, indicating that the proposed algorithm effectively achieves the design expectation.


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Cite this article
[APA Style]
Ming, M. (2022). Accurate Segmentation Algorithm of Video Dynamic Background Image Based on Improved Wavelet Transform. Journal of Information Processing Systems, 18(5), 711-718. DOI: 10.3745/JIPS.02.0184.

[IEEE Style]
M. Ming, "Accurate Segmentation Algorithm of Video Dynamic Background Image Based on Improved Wavelet Transform," Journal of Information Processing Systems, vol. 18, no. 5, pp. 711-718, 2022. DOI: 10.3745/JIPS.02.0184.

[ACM Style]
Ming Ming. 2022. Accurate Segmentation Algorithm of Video Dynamic Background Image Based on Improved Wavelet Transform. Journal of Information Processing Systems, 18, 5, (2022), 711-718. DOI: 10.3745/JIPS.02.0184.