4.3 Article

Application of Image Recognition Algorithm Based on Partial Differential Equation and Wavelet Transform in the Intelligent Linkage System of Government Urban Public Management

Journal

ADVANCES IN MATHEMATICAL PHYSICS
Volume 2021, Issue -, Pages -

Publisher

HINDAWI LTD
DOI: 10.1155/2021/7030289

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This article discusses the successes and shortcomings of the public and private sectors in integrating resources and providing services in the Internet age. The holistic governance theory, combined with an image recognition algorithm based on partial differential equations and wavelet transform, effectively improves image recognition capabilities, providing a practical method for the intelligent linkage system of government urban public management.
In the Internet age, social needs have become more diverse. The private sector has achieved great success in integrating resources to provide services to customers thanks to technological breakthroughs such as mobile Internet and big data, while the public sector has become even more dwarfed. The public sector urgently needs new theoretical support to integrate administrative resources more effectively, so as to provide the public with one-stop, holistic and seamless services as a whole. The holistic governance theory effectively responded to the abovementioned problems and gradually condensed the consensus of the academic and practical circles and became the most influential theory. The method of mathematical modeling is used to combine the improved wavelet domain Wiener filter and the comprehensive model of partial differential equations. This paper proposes an image recognition algorithm based on partial differential equations and wavelet transform. The algorithm uses weight coefficients to organically combine high-order partial differential equation models, retains the advantages of the second- and fourth-order partial differential recognition models, effectively improves the ability to maintain image edge detail information, and achieves better recognition results. This article starts with the description of the fragmentation of a street's grassroots governance and sorts out the process of implementing overall governance with the big linkage mechanism as the main carrier. Due to the limitations of research ability and objective conditions, this article intercepts the cross-section of the big linkage mechanism in a certain street to demonstrate it and analyzes this cross-section more thoroughly. The experimental results of the data show that the image recognition algorithm based on partial differential equations and wavelet transform is effective and practical in the intelligent linkage system of the government urban public management.

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