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作 者:李媛媛 袁永春[1] 阮丽华 赵青青[1] 张涛[1,2,3] LI Yuan-Yuan;YUAN Yong-Chun;RUAN Li-Hua;ZHAO Qing-Qing;ZHANG Tao(Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China;School of Information Science and Technology,ShanghaiTech University,Shanghai 201210,China;University of Chinese Academy of Sciences,Beijing 100049,China)
机构地区:[1]中国科学院上海技术物理研究所,上海200083 [2]上海科技大学信息科学与技术学院,上海201210 [3]中国科学院大学,北京100049
出 处:《红外与毫米波学报》2024年第2期288-294,共7页Journal of Infrared and Millimeter Waves
基 金:the National Key Research and Development Program of China(2021YFC2103300)。
摘 要:高图像质量对于空间细胞实验至关重要,因为需要具备远程清晰监控的能力来把握实验进程和方向。然而,在空间实验中,由于空间限制和环境因素的影响,成像设备在一些性能方面受到比较强的约束,这直接影响了成像质量和对培养目标的观察。地面的分析需要对图像进行特征提取和计数等任务,但光照不均会严重影响分割效果。为此,本文提出了一种名为STAR-ADF的方法,实验结果证明该方法能够有效去除噪声、均衡光照,增强评价指标较原图提升了12.5%,并具有一定的鲁棒性。High image quality is crucial for cell experiments in space,as it requires the ability of remotely moni⁃toring to grasp the progress and direction of experiments.However,due to space limitations and environmental factors,imaging equipment is strongly constrained in some performance,which directly affects the imaging quali⁃ty and observation of cultivated targets.Moreover,experimental analysis on the ground requires tasks such as fea⁃ture extraction and cell counting,but uneven lighting can seriously affect computer processing.Therefore,a method called STAR-ADF is proposed,and experimental results show that the proposed method can effectively re⁃move noise,equalize illumination,and increase the enhancement evaluation index by 12.5%in comparison with original figures,which has certain robustness.
分 类 号:TP31[自动化与计算机技术—计算机软件与理论]
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