液晶与显示2026，Vol.41Issue(7)：981-994,14.DOI:10.37188/CJLCD.2026-0107
基于小波与粗概率先验双分支的眼底微细血管分割网络
Retinal micro-vessel segmentation based on wavelet and coarse probability prior dual-branch network
摘要
Abstract
Morphological parameters such as the diameter and bifurcation of retinal blood vessels serve as important references for clinical diagnosis,and accurate segmentation of microvessels is essential for the early diagnosis of related diseases.Existing segmentation methods often suffer from blurred edges,fractured topological structures,and inadequate fusion of thick and thin vessel features in microvessel detection.To address these issues,this paper proposes a dual-branch segmentation network.We adopt IterMiUnet as the coarse segmentation branch to extract global vascular features,and introduce Haar wavelet prior to enhance the frequency-domain representation and edge details of microvessels.Since coarse segmentation struggles to identify weak boundaries and fractured vessels accurately,we take uncertain pixels from coarse segmentation probability as prior guidance,enabling the fine segmentation model to focus on these challenging regions and boost segmentation precision.A dual-scale probability encoding fusion mechanism combined with temperature scaling and background suppression is also constructed.The outputs of coarse segmentation are optimized using fine segmentation results to realize adaptive fusion and reduce background interference.Experiments on DRIVE,CHASE_DB1 and STARE datasets demonstrate that the proposed algorithm outperforms mainstream methods,with F1 scores of 0.825 7,0.836 0 and 0.835 7 respectively.It achieves stable and reliable performance,and can effectively capture microvascular details while maintaining the topological integrity of blood vessels.关键词
计算机视觉/深度学习/图像分割/视网膜血管/小波Key words
computer vision/deep learning/image segmentation/retinal blood vessels/wavelet分类
信息技术与安全科学引用本文复制引用
常汇谈,马瑜,黄守彤,肖越,马虎燕..基于小波与粗概率先验双分支的眼底微细血管分割网络[J].液晶与显示,2026,41(7):981-994,14.基金项目
国家自然科学基金(No.42361056) （No.42361056）
宁夏回族自治区重点研发计划(No.2023BDE03002) （No.2023BDE03002）
中央支持地方项目(No.2023FRD05034)Supported by National Natural Science Foundation of China(No.42361056) （No.2023FRD05034）
Key R&D Program of Ningxia Hui Autonomous Region(No.2023BDE03002) （No.2023BDE03002）
Central Government Support Program for Local Development(No.2023FRD05034) （No.2023FRD05034）
