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作 者:陈禹蒙 汪毅[1] 刘泽远 陈文光 蔡怀宇[1] 陈晓冬[1] Chen Yumeng;Wang Yi;Liu Zeyuan;Chen Wenguang;Cai Huaiyu;Chen Xiaodong(Key Laboratory of Optoelectronics Information Technology(Ministry of Education),School of Precision Instruments and Optoelectronics Engineering,Tianjin University,Tianjin 300072,China;Shanghai Medi Works Precision Instrument Incorporated Company,Shanghai 200237,China)
机构地区:[1]天津大学精密仪器与光电子工程学院,光电信息技术教育部重点实验室,天津300072 [2]上海美沃精密仪器股份有限公司,上海200237
出 处:《激光与光电子学进展》2024年第14期428-436,共9页Laser & Optoelectronics Progress
摘 要:针对手术显微镜景深与分辨率之间相互制约的问题,为在高分辨率成像前提下拓展景深,提出一种基于眼科手术显微镜系统的图像获取改造方案,对手术显微镜的双光路结构进行改进,使得双目图像分别具备大景深与高分辨的特性。随后针对系统改造后的成像特点设计一种双目图像融合算法,将图像的聚焦检测结果作为初始融合决策图,并结合图像颜色与纹理信息对决策图进行细化,通过双尺度分解实现细节信息的有效融合。实验结果表明,所提改造方案与融合算法能够在保证高分辨率成像的前提下,将景深提升50%以上。所提方法适用于大景深与高分辨率手术显微图像的目视观察、术中2D与3D显示、术后的影像保存与分析。Aiming at the negative correlation between the depth of field and resolution of surgical microscopes,this study proposed an image acquisition scheme based on an ophthalmic surgical microscope system to expand the depth of field under the premise of highresolution imaging.The involved binocular images have a large depth of field and high resolution respectively.Subsequently,a binocular imagefusion algorithm was designed according to the imaging characteristics obtained after the transformation.The involved focus detection results were employed as initial fusion decision maps,which were subsequently refined by combining the color and texture information of the images.The detailed information was effectively fused through doublescale decomposition.Experimental results show that the proposed scheme and fusion algorithm can be used to highlight the details of highresolution images by preserving the clear range of largedepthoffield images.The depthoffield enhancement achieved using the proposed algorithm is>50%compared with that of the original algorithm.Overall,the proposed method is suitable for visual observation of largedepthoffield and highresolution surgical microscopic images,intraoperative two-and threedimensional displays,and postoperative image preservation and analysis.
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