封面
声明
论文审阅认定书
致谢
中文摘要
英文摘要
目录
Contents
图清单
表清单
变量注释表
1 绪论
1.1 研究的目的和意义(Destination and significance of the research)
1.2 带钢表面缺陷检测方法国内外研究现状( Domestic and Foreign Research Status)
1.3 带钢表面缺陷图像检测面临的问题(The problems in steel strip surface defects detection by image)
1.4 课题来源和主要研究内容(Source of the subject and main research contents)
1.5 章节安排(Chapter arrangement)
2 带钢表面缺陷图像检测装置及缺陷分析
2.1 带钢表面缺陷图像检测装置( Steel strip surface defects detecting device by images)
2.2典型带钢表面缺陷及产生原因(Analysis of typical defects on steel strip surfaces and the cause of defects)
2.3本章小结(Summary)
3带钢表面缺陷图像处理算法研究
3.1基于图像复杂度的缺陷快速检测方法(Quick defects detecting method by image complexity)
3.2基于图像局部方差和信息熵的带钢缺陷图像背景纹理滤波弱化方法( Reduction of textures on steel strip defect images background based on local variance and information entropy )
3.3带钢表面图像亮度不均匀校正及对比度增强(Adjustment of bright unevenness in image and contrast enhancement)
3.4本章小结(Summary)
4 带钢表面缺陷图像分割
4.1 图像分割算法概述( Introduction of image segmentation methods)
4.2 钢板表面特点对缺陷分割的影响(Influences of steel strip surface characters on defect images segmentation)
4.3基于视觉注意机制的图像分割算法(Segmentation algorithm based on visual attention mechanism)
4.4本章小结(Summary)
5 带钢表面缺陷特征提取和分类
5.1概述(Introduction)
5.2缺陷图像特征提取(Feature extraction of defects images)
5.3 基于改进可拓理论的钢板表面缺陷分类( Classification algorithm of surface defect images based on improved extenics theory)
5.4本章小结(Summary)
6 结论与展望
6.1主要结论(Main Conclusions)
6.2创新点(Innovations)
6.3展望(Prospections)
参考文献
附录1
作者简历
学位论文数据集