摘要
论述了金属断口图像处理在国内外的发展与研究现状,以及金属断口图像的预处理过程、对图像的特征提取以及模式识别3个部分,并基于空间域及变换域对三部分的方法进行统计分析以及归纳总结。同时,针对算法的运算时间及速率、识别率以及鲁棒性等性能指标,对金属断口图像的识别综合性能进行判断分析和探讨。指出现阶段金属断口图像处理算法存在的不足之处及其进一步的发展方向,这将为断口图像智能诊断技术的发展提供有力的参考。
This article mainly discusses the development and research status of metal fracture image processing at home and abroad.This topic covers three parts of metal fracture image preprocessing,image feature extraction and pattern recognition.Based on spatial domain and transform domain,the three methods are statistically analyzed and summarized.At the same time,according to the algorithm 's computing time,speed,recognition rate,robustness and other performance indicators,the comprehensive performance of metal fracture image recognition is analyzed and discussed.At the same time,the shortcomings of metal fracture image processing algorithm and their further development direction are pointed out,which will provide a powerful reference for the development of intelligent image fracture imaging technology.
作者
马曼曼
李志农
陈玲
孙熠
刘新灵
陶春虎
MA Man-man;LI Zhi-nong;CHEN Ling;SUN Yi;LIU Xin-ling;TAO Chun-hu(Key Laboratory of Nondestructive Testing(Ministry of Education),Nanchang Hangkong University,Nanchang 330063,China;AECC Beijing Institute o f Aeronautical Materials,Beijing 100095,China)
出处
《失效分析与预防》
2018年第3期196-202,共7页
Failure Analysis and Prevention
基金
国家自然科学基金(51675258
51265039)
江西省教育厅科学技术研究项目(GJJ150699)
国家重点研发计划(2016YFF0203000)
关键词
断口分析
图像处理
特征提取
智能诊断
fracture analysis
image processing
feature extraction
intelligent diagnosis