现代防御技术2024，Vol.52Issue(4)：123-129,7.DOI:10.3969/j.issn.1009-086x.2024.04.013
基于图像语义分割与结构保持约束的风机叶片拼接技术
Blade Stitching Technology Based on Image Semantic Segmentation and Structure Preservation Constraints
摘要
Abstract
Taking UAV's patrol shooting of fan blades as the application background,the image stitching method of fan blade images is studied,a method of background segmentation and image gridding stitching is proposed.Through in-depth learning of U-Net algorithm,the main part of the fan is extracted from the image,which can effectively deal with the difficult problem of fan blade splicing caused by large parallax and uneven distribution of target background feature points.In the process of image grid optimization,the energy function is designed based on the strategy of protecting the global linearity of the fan blade,and the grid vertex is optimized to the edge of the fan.Linear features are effectively protected.The natural stitching of several fan blades is realized.The stitching image has small distortion and continuous reality.关键词
图像语义分割/as-projective-as-possible(APAP)/网格化图像拼接/直线结构保持/深度学习/特征提取Key words
image semantics segmentation/as-projective-as-possible(APAP)/meshed image stitching/line structure preservation/deep learning/feature extraction分类
信息技术与安全科学引用本文复制引用
许恒雷,陈帅旗,宋勋,朱洺洁..基于图像语义分割与结构保持约束的风机叶片拼接技术[J].现代防御技术,2024,52(4):123-129,7.基金项目
新能源场站海量数据深入挖掘与精益化运营关键技术研究(528060170002) （528060170002）
