测绘通报 ›› 2023, Vol. 0 ›› Issue (3): 49-54.doi: 10.13474/j.cnki.11-2246.2023.0071

• 学术研究 • 上一篇    下一篇

基准线约束的建筑物立面重复纹理检测

贾琛1, 刘欣怡1, 张永军1, 祝宪章1, 任维成2, 何庆2, 冯幼贵2   

  1. 1. 武汉大学遥感信息工程学院, 湖北 武汉 430079;
    2. 山东正元航空遥感技术有限公司, 山东 济南 250000
  • 收稿日期:2022-04-20 修回日期:2023-02-06 发布日期:2023-04-04
  • 通讯作者: 刘欣怡。E-mail:liuxy0319@whu.edu.cn
  • 作者简介:贾琛(1999-),男,硕士生,主要从事三维建模与纹理提取的研究工作。E-mail:1294184482@qq.com
  • 基金资助:
    国家自然科学基金(42201474;41871368)

Repetitive texture detection of building facade constrained by baseline

JIA Chen1, LIU Xinyi1, ZHANG Yongjun1, ZHU Xianzhang1, REN Weicheng2, HE Qing2, FENG Yougui2   

  1. 1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;
    2. Shandong Zhengyuan Aerial Remote Sensing Technology Co., Ltd., Jinan 250000, China
  • Received:2022-04-20 Revised:2023-02-06 Published:2023-04-04

摘要: 重复纹理是立面中极为常见的特征之一,从立面图像中自动检测重复纹理结构是建筑物立面分析的一个重要环节。本文提出了一种基准线约束的纹理检测方法,以自动检测重复对象的位置和尺寸。该方法首先采用贝叶斯自适应超像素分割算法构建出超像素邻接图,计算色差后,对墙体进行分离获得候选对象;然后,计算得到候选对象的外接矩形,并从原图中提取出直线段对外接矩形进行约束;最后,基于建筑物立面结构的先验知识对建筑物立面纹理进行修复。试验结果表明,本文方法在检测几何形状为矩形纹理时,可实现对纹理位置和尺寸信息的准确检测,以及被遮挡重复对象的有效修复。

关键词: 超像素, 色差, 线约束, 重复纹理检测, 纹理修复

Abstract: Repeated texture is one of the most important features in building facades. How to automatically detect repeating textures from facade images is an important part of building facade analysis. This paper proposes a new Baseline Constrained Texture Detection Method to automatically detect the exact location and size of repeating objects. The method first uses Bayesian adaptive superpixel segmentation to construct a superpixel adjacency map, and then separates the wall by calculating chromatic aberration to obtain candidate objects. Secondly, extract straight lines from the original image, and perform preprocessing such as normal classification and line segment clustering on the obtained straight lines. Finally, texture repair is performed based on prior knowledge of building facade structure. The experimental results show that the proposed method can effectively detect the position and size information of repeated textures when detecting repeated textures whose geometric shapes are rectangles, and repair the occluded repeated objects.

Key words: superpixel, chromatic aberration, baseline constraint, repeated texture detection, texture repair

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