华南理工大学学报(自然科学版) ›› 2015, Vol. 43 ›› Issue (11): 54-60,74.doi: 10.3969/j.issn.1000-565X.2015.11.008

• 计算机科学与技术 • 上一篇    下一篇

用于网格去噪的自适应双边滤波器

江亮亮,杨付正,任光亮   

  1. 西安电子科技大学 综合业务网理论及关键技术国家重点实验室,陕西 西安 710071
  • 收稿日期:2015-04-07 修回日期:2015-06-07 出版日期:2015-11-25 发布日期:2015-10-01
  • 通信作者: 江亮亮( 1988-) ,男,博士生,主要从事三维模型去噪及质量评估技术研究 E-mail:lljiang@stu.xidian.edu.cn
  • 作者简介:江亮亮( 1988-) ,男,博士生,主要从事三维模型去噪及质量评估技术研究
  • 基金资助:
    国家自然科学基金资助项目( 61371089,61571337)

Adaptive Bilateral Filter for Mesh Denoising

Jiang Liang-liang Yang Fu-zheng Ren Guang-liang   

  1. State Key Laboratory of Integrated Services Networks,Xidian University,Xi'an 710071,Shaanxi,China
  • Received:2015-04-07 Revised:2015-06-07 Online:2015-11-25 Published:2015-10-01
  • Contact: 江亮亮( 1988-) ,男,博士生,主要从事三维模型去噪及质量评估技术研究 E-mail:lljiang@stu.xidian.edu.cn
  • About author:江亮亮( 1988-) ,男,博士生,主要从事三维模型去噪及质量评估技术研究
  • Supported by:
    Supported by the National Natural Science Foundation of China( 61371089,61571337)

摘要: 为有效去除三维网格模型中的噪声,提出一种用于网格去噪的自适应双边滤波 器. 首先,利用体积积分不变量对三维网格模型进行特征检测,估计出局部的特征强度,然 后根据特征强度自适应地调整双边滤波器的滤波参数. 通过自适应的参数优化,对于不同 特征强度的区域,自适应双边滤波器采用更具针对性的去噪策略,从而进一步提高了去噪 性能. 实验结果表明,相比于双边滤波器,所提出的自适应双边滤波器在去除噪声的同时, 能够更好地保持三维网格模型的细节特征,去噪后得到的网格模型与原始模型的客观差 值测度平均降低了 0. 0332.

关键词: 三维网格, 网格去噪, 双边滤波器, 特征检测, 特征保持

Abstract: In this paper,an adaptive bilateral filter is proposed to remove noises in 3D mesh models. Firstly,the feature detection of 3D mesh models is performed on the basis of the volume integral invariant,and the local feature strength is estimated. Then,the proposed filter adaptively adjusts the denoising parameters in the bilateral filter according to the local feature strength. Through the adaptive optimization of parameters,the proposed filter provides targeted denoising strategies for the regions with different feature strength,thus further improving the denoising performance. Experimental results reveal that,in comparison with common bilateral filters,the proposed adaptive bilateral filter achieves a superior performance in preserving the sharp features of 3D mesh models during the denoising,and the objective distance measure between the denoised mesh model and the original model is averagely reduced by 0. 0332.

Key words: 3D meshes, mesh denoising, bilateral filter, feature detection, feature preserving

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