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基于教育元宇宙环境下文本图像预处理算法的高校图书版面设计与构建。

Design and Construction of University Book Layout Based on Text Image Preprocessing Algorithm in Education Metaverse Environment.

机构信息

DPU Southampton International College, Dalian Polytechnic University, Dalian 116034, China.

出版信息

J Environ Public Health. 2022 Sep 25;2022:6219401. doi: 10.1155/2022/6219401. eCollection 2022.

Abstract

Books have a significant role in the diffusion of cultural information since they not only carry the weight of cultural inheritance but also serve to preserve historical culture. The major goals of contemporary book layout design are to establish harmony and coherence; maintain overall coordination between the internal and external; and have distinctive, inventive, and modern aesthetic impacts in the context of the educational metacosmos. It is important to emphasize the artistic value and beauty of contemporary books using proper creative language design strategies. The discussion of contemporary book layout design therefore helps to increase understanding of contemporary book layout design. This essay briefly addresses book layout design and examines how books are constructed in colleges and universities. Based on the educational metauniverse environment, it outlines a number of issues that should be taken into account when designing the book's layout. Layout analysis and text image preparation methods are used in modelling. The experimental findings indicate that this algorithm can recognise text regions with an accuracy of 94.8% and a recognition rate of 94.5%, respectively. It is concluded that the method suggested in this work has some reference value for the advancement of university book layout design and can be applied effectively in layout analysis and text typesetting.

摘要

书籍在文化信息的传播中扮演着重要的角色,因为它们不仅承载着文化传承的重量,而且还用于保存历史文化。当代书籍排版设计的主要目标是建立和谐与连贯性;在教育元宇宙的背景下,保持内部和外部之间的整体协调;并具有独特、富有创意和现代的美学影响力。使用适当的创意语言设计策略强调当代书籍的艺术价值和美感非常重要。因此,对当代书籍排版设计的讨论有助于增加对当代书籍排版设计的理解。本文简要介绍了书籍排版设计,并探讨了高校的书籍结构。基于教育元宇宙环境,概述了在设计书籍布局时应考虑的一些问题。布局分析和文本图像准备方法用于建模。实验结果表明,该算法可以分别以 94.8%和 94.5%的准确率识别文本区域。因此,本文提出的方法对推进高校书籍排版设计具有一定的参考价值,可以有效地应用于布局分析和文本排版。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cf3/9527412/fd045d89b3f2/JEPH2022-6219401.001.jpg

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