[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.3745/JIPS.02.0184

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

Ming, Ming (Dept. of Information Engineering, Yantai Gold College)

Publication Information

Journal of Information Processing Systems / v.18, no.5, 2022 , pp. 711-718 More about this Journal

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.

Keywords

Dynamic Background Image; Image Segmentation; Improved Wavelet Transform; Video Image;

Citations & Related Records

Reference

1	L. Mo, L. L. Li, and L. Shu, "Application of unsupervised fuzzy clustering algorithm in image recognition," Techniques of Automation and Applications, vol. 39, no. 1, pp. 121-124, 2020.
2	P. Shivakumara, A. Alaei, and U. Pal, "Mining text from natural scene and video images: a survey," Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 11, no. 6, article no. e1428, 2021. https://doi.org/10.1002/widm.1428 DOI
3	H, Jin, T. Cao, C. Xiao, and Z. Xiao, "Video summary generation based on multi-feature image and visual saliency," Journal of Beijing University of Aeronautics and Astronautics, vol. 47, no. 3, pp. 441-450, 2021.
4	D. Cui, "Image segmentation algorithm based on partial differential equation," Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 5945-5952, 2021. DOI
5	J. H. Zuo, Z. H. Jia, J. Yang, and N. Kasabov, "Moving object detection in video image based on improved background subtraction," Computer Engineering and Design, vol. 41, no. 5, pp. 1367-1372, 2020.
6	Y. Yin and S. Li, "Damage diagnosis of silo structure based on two-dimensional wavelet transform," Journal of Wuhan University of Technology, vol. 43, no. 5, pp. 54-59, 2021.
7	I. A. Kudinov, M. B. Nikiforov, and I. S. Kholopov, "Strategies for generating panoramic video images without information about scene correspondences for multispectral distributed aperture systems," Computer Optics, vol. 45, no. 4, pp. 589-599, 2021.
8	I. Kotaridis and M. Lazaridou, "Remote sensing image segmentation advances: a meta-analysis," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 173, pp. 309-322, 2021. DOI
9	Z. Wang, "Dynamic recognition simulation of video image frame features based on visual communication," Computer Simulation, vol. 37, no. 7, pp. 455-458, 2020.