摘要
因培养基具有流动性,多聚焦细胞图像序列采集过程中,同一细胞在不同帧图像的位置产生变化,且失焦细胞与聚焦细胞在形态学上存在明显差异,因此细胞图像序列无法满足现有的多聚焦图像融合算法对图像内容空间一致性的要求。为此,提出了一种基于目标识别的多聚焦细胞图像融合方法,通过改进的YOLOv10目标识别模型对图像序列的所有细胞完成锁定后,进行目标追踪以关联多帧细胞,确认其运动轨迹,并对关联的同一细胞进行清晰度评价,选择清晰度最高的细胞,经过图像分割、提取和融合得到最终的全聚焦清晰图像。将所提出方法与7种多聚焦图像融合算法应用于多聚焦细胞图像融合并对融合结果进行对比分析,所提方法的峰值信噪比平均提高3.9993 dB,结构相似性指数超过0.9741,融合图像内容完整、细节准确、清晰度高,实现了对多聚焦细胞显微图像的高质量融合。
In the process of multi-focus cell image sequence acquisition,the fluidity of the medium causes the same cell to change position in different image frames,and obvious morphological differences exist between the defocused and focused cells.Therefore,the cell image sequence cannot meet the requirements of the existing multi-focus image fusion algorithm for ensuring spatial consistency of image content.To this end,this paper proposes a multi-focus cell image fusion method based on target recognition.After locking all cells in the image sequence through the improved YOLOv10 target recognition model,target tracking is performed to correlate multiple frames of cells and their motion trajectories are confirmed.After evaluating the clarity of the associated cells,the cells with the highest clarity are selected for image segmentation,extraction,and fusion to obtain the final full-focus clear image.The proposed method and seven multi-focus image fusion algorithms are applied to multi-focus cell image fusion and the results are compared and analyzed.The peak signal-to-noise ratio of the proposed method increases by 3.9993 dB on average,and the structural similarity index is above 0.9741.The fused image retains the entire content,accurate details,and high definition,realizing high-quality fusion of multi-focus cell microscopic images.
作者
陈沐严
王继帅
王磊
章强
徐文畅
程文播
Chen Muyan;Wang Jishuai;Wang Lei;Zhang Qiang;Xu Wenchang;Cheng Wenbo(School of Biomedical Engineering(Suzhou),Division of Life Sciences and Medicine,University of Science and Technology of China,Suzhou 215163,Jiangsu,China;Suzhou Institute of Biomedical Engineering and Technology,Chinese Academy of Sciences,Suzhou 215163,Jiangsu,China)
出处
《激光与光电子学进展》
北大核心
2025年第14期274-284,共11页
Laser & Optoelectronics Progress
基金
天津市重点研发计划(23YFYSHZ00080)。
关键词
图像处理
多聚焦显微图像
目标识别
目标追踪
多图融合
image processing
multi-focus microscopic image
target recognition
target tracking
multi-image fusion
作者简介
通信作者:程文播,chengwb@sibet.ac.cn。
