计算机工程与应用2024，Vol.60Issue(24)：188-199,12.DOI:10.3778/j.issn.1002-8331.2308-0091
边界感知SegFormer网络的阵列目标图像分割方法
Array Target Image Segmentation with Boundary-Aware SegFormer Network
摘要
Abstract
Aiming at the problem of low target segmentation accuracy due to the existence of non-uniform background,defect interference and weak edges in array target images in industrial scenarios,an array target image segmentation method with boundary-aware SegFormer network is proposed.Firstly,an adaptive seed searching strategy is proposed for the problem that fixed seeds are susceptible to background and defect interference.This strategy uses the correlation between seed location and target positioning accuracy to construct a heat map of seed distribution,and adaptively searches for ideal seed targets under the guidance of the heat map to achieve high-precision global segmentation of array targets.Secondly,the boundary-aware SegFormer network is designed for local segmentation,using recursive gated convolution to empha-size long-range and higher-order spatial interactions of features,an improved gated residual boundary refinement module to learn richer edge information,and the introduction of a hybrid loss function to enhance the supervision of the region interior and the edge pixels,which guides the network to better learn the target edge features and improve the boundary segmenta-tion accuracy.Validation experiments on the self-built wafer dataset and the semantic segmentation dataset Cityscapes show that the proposed segmentation method is able to completely and accurately segment targets in high-resolution array target images with uneven backgrounds,defective contaminations,and low edge contrast with high real-time performance.关键词
图像分割/阵列目标/自适应种子搜索/边界感知/SegFormerKey words
image segmentation/array target/adaptive seed searching/boundary awareness/SegFormer分类
信息技术与安全科学引用本文复制引用
吕扬,吴静静,庄祉珊,安聪颖..边界感知SegFormer网络的阵列目标图像分割方法[J].计算机工程与应用,2024,60(24):188-199,12.基金项目
国家自然科学基金(62072416,61873246). （62072416,61873246）
