基于计算机视觉感知的绍兴古桥美景度研究
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俞越(1980—), 男, 学士, 高级工程师, 从事规划编制管理工作。

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TU997

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绍兴市桥梁风貌提升专项研究项目(2024ZJ239-201-001)


Research on Scenic Beauty of Shaoxing Ancient Bridge Based on Computer Vision Perception
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    摘要:

    绍兴古桥是大运河文化遗产的重要载体之一,其景观美学价值亟待科学评估与保护。为系统探究绍兴古桥美景度的视觉形成机制,选取具有代表性的绍兴迎恩桥、玉龙桥、百花桥与新桥作为研究对象,通过量化分析4座桥梁的色彩特征、天际线变化指数与空间虚实比,阐释影响绍兴古桥美景度和景观风貌的关键视觉要素。结果显示:迎恩桥和百花桥在色彩协调、天际线韵律和空间虚实关系方面都优于玉龙桥和新桥。这一结论说明,桥梁景观的美学品质源于色彩、天际线变化与空间虚实关系的协同作用,而非单一视觉要素的凸显。美景度较高的古桥普遍具有色彩稳定性强、饱和度适中偏高(S为50~110)、动态范围宽广的特点;其天际线富有韵律感,整体天际线变化指数为100~150;景观空间以虚体元素为主导,虚实比维持在1︰1~5︰2。

    Abstract:

    As important carriers of the Grand Canal cultural heritage, the ancient bridges of Shaoxing possess the landscape aesthetic values that urgently require scientific evaluation and protection. To systematically explore the visual formation mechanism of ancient bridge aesthetics in Shaoxing, the representative bridges including Yingen Bridge, Yulong Bridge, Baihua Bridge and Xinqiao Bridge are selected as study subjects. By quantitatively analyzing the color characteristics, skyline change index and spatial virtual-real ratio of four bridges, the key visual elements affecting the beauty and landscape style of the bridges are explained. The results indicate that Yingen Bridge and Baihua Bridge outperform Yulong Bridge and Xinqiao Bridge in terms of color coordination, skyline rhythm and the relationship between the real and the virtual in space. The conclusion shows that the aesthetic quality of bridge landscapes stems from the synergistic effect of color, skyline changes and the relationship between virtual and real spaces, rather than the highlighting of a single visual element. Ancient bridges with high aesthetic appeal generally exhibit strong color stability, moderate saturation (S ranging from 50 to 110), and a wide dynamic range. The skyline contours display rhythmic patterns, with overall skyline change indices ranging between 100 and 150. And in the landscape space, the void elements dominate and the ratio of virtual to real is maintained at 1:1 to 5:2.

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俞越, 董彧, 朱娉婷, 温日琨.基于计算机视觉感知的绍兴古桥美景度研究[J].城市道桥与防洪,2026,(5):63-69.

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  • 收稿日期:2025-09-24
  • 最后修改日期:2026-03-16
  • 录用日期:2025-11-14
  • 在线发布日期: 2026-05-22
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