古建筑木结构倾斜下承载性能恢复仿真

Simulation of Bearing Performance Restoration of Ancient Wooden Structures under Tilt

对古建筑倾斜木结构承载能力的恢复,能够有效提高古建筑遗址的保存效果和时长。对古建筑木结构倾斜的恢复,需要先获取待恢复图像结构信息,根据定义木结构倾斜像素块,得到待恢复区域信息内像素点梯度的变化。传统方法对倾斜信息区域进行单元划分,组建基于匹配点对的空间映射模型,但忽略了获取木结构倾斜信息像素点梯度的变化,导致恢复精度偏低。提出基于非降采样轮廓波变换的古建筑木结构倾斜恢复保护方法。依据非降采样轮廓波变换原理将图像分解成低频部分和高频部分,提取待恢复倾斜信息特征,获取待恢复倾斜信息的边缘区域,定义待恢复倾斜信息像素块,依据图像中待恢复倾斜信息区域内像素点的梯度变化得到其恢复的边缘权重,由此实现古建筑木结构承载性能的恢复。仿真证明,所提方法图像倾斜信息恢复精度高,为木结构古建筑保护工作提供了有利的依据。

This research proposes a protection method for lean recovery of wood structure of ancient architecture based on non down-sampling contourlet transform. The image is resolved into low-frequency part and high-frequency part according to theory of the non down-sampling contourlet transform, then information characteristic of lean waiting for recovery is extracted, and marginal area of the lean information is acquired. The pixel block of the lean information is defined, and margin weight of recovery is obtained according to change of gradient of pixel point in area of the lean information. Thus, the recovery of load-carrying property of the wood structure of ancient architecture is achieved. Simulation proves that the method has high recovery precision. It provides favorable gist for protection work of ancient architecture with wood structure.