计算机工程

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基于改进Snake模型的机体损伤区域划分方法

蔡舒妤,余乃春,师利中   

  1. (中国民航大学 航空工程学院,天津 300300)
  • 收稿日期:2016-11-11 出版日期:2017-07-15 发布日期:2017-07-15
  • 作者简介:蔡舒妤(1985—),女,讲师、硕士,主研方向为飞机故障协同诊断、三维模型重构;余乃春,硕士研究生;师利中,讲师、硕士。
  • 基金项目:
    国家部委基金。

Airframe Damage Region Division Method Based on Improved Snake Model

CAI Shuyu,YU Naichun,SHI Lizhong   

  1. (College of Aeronautical Engineering,Civil Aviation University of China,Tianjin 300300,China)
  • Received:2016-11-11 Online:2017-07-15 Published:2017-07-15

摘要: 为准确高效地为飞机结构损伤分析和智能维修决策提供支持,提出一种改进的飞机机体损伤区域划分方法。根据机体损伤区域的特点,引入数学形态学理论对灰度熵阈值划分图像进行修复,并以此为基础给出单像素初始轮廓提取方法。通过对边界稳定点的自动判定和边界点的动态添加,对Snake模型进行改进。选用不同类型的飞机机体损伤图像进行验证,结果表明,与经典Snake方法相比,该方法可有效解决初始轮廓的不确定性对结果的影响,避免邻接区域的干扰,边界清晰有效,运算效率高。

关键词: 区域划分, Snake模型, 单像素初始边界提取, 数学形态学, 灰度熵

Abstract: In order to support aircraft structure damage analysis and intelligent maintenance decision accurately and efficiently,an improved airframe damage region division method is proposed.According to the features of airframe damage region,mathematical morphology is introduced to repair the image which is divided by gray level entropy.On the basis,the single pixel initial contour extraction method is proposed.Snake model is improved by automatic judgment of stable boundary points and dynamic addition of new boundary points.Airframe damage region division experiments are performed by different types of damage image.Experimental results show that,compared with the classical Snake methods,the proposed method solves the influence of initial contour uncertainty on the results effectively,and avoids disturbance of neighboring regions.The damage region divided by the proposed method is clear and accurate and the operation efficiency is improved obviously.

Key words: region division, Snake model, single pixel initial boundary extraction, mathematical morphology, gray level entropy

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