Underwater target motion estimation is a challenge for ocean military and scientific research.In this work,we propose a method based on the combination of polarization imaging and optical flow for turbid underwater ta...Underwater target motion estimation is a challenge for ocean military and scientific research.In this work,we propose a method based on the combination of polarization imaging and optical flow for turbid underwater target detection.Polarization imaging can reduce the influence of backscattered light and obtain high-quality images underwater.The optical flow shows the motion and structural information of the target.We use polarized optical flow to obtain the optical flow field and estimate the target motion.The experimental results of different targets under varying water turbidity levels illustrate that our method is realizable and robust.The precision is verified by comparing the results with the precise displacement data and calculating two error measures.The proposed method based on polarized optical flow can obtain accurate displacement information and a good recognition effect.Moving target segmentation based on the Otsu method further proves the superiority of the polarized optical flow under turbid water.This study is valuable for target detection and motion estimation in scattering environments.展开更多
目的:观察多次胰岛素注射转换为基础胰岛素联合胰高血糖素样肽-1(GLP-1)受体激动剂方案治疗超重肥胖2型糖尿病(T2DM)的效果及对生活质量的影响。方法:选择2019年8月-2021年8月在江门市五邑中医院就诊的80例超重肥胖T2DM患者为研究对象...目的:观察多次胰岛素注射转换为基础胰岛素联合胰高血糖素样肽-1(GLP-1)受体激动剂方案治疗超重肥胖2型糖尿病(T2DM)的效果及对生活质量的影响。方法:选择2019年8月-2021年8月在江门市五邑中医院就诊的80例超重肥胖T2DM患者为研究对象。按随机数字表法分为观察组(n=40)和对照组(n=40)。所有患者研究前均采用多次胰岛素注射方案,且嘱患者糖尿病饮食并加强运动锻炼。对照组无转换用药,继续多次胰岛素注射方案,观察组转换用药,多次胰岛素转换为基础胰岛素联合胰高血糖素样肽-1(GLP-1)受体激动剂方案,比较治疗前及治疗3个月后两组BMI和血糖相关指标[糖化血红蛋白(HbA1c)、空腹血糖(FBG)、餐后2 h血糖(2 h PG)]变化,比较两组胰岛功能[空腹胰岛素(FINS)、胰岛β细胞功能(HOMA-β)和胰岛素抵抗指数(HOMA-IR)]和生活质量[糖尿病生存质量特异性量表(DSQL)]差异,比较治疗3个月内两组不良反应发生情况差异。结果:治疗3个月后,两组FBG、2 h PG、HbA1c和HOMA-IR较治疗前均降低,FINS和HOMA-β较治疗前均升高,观察组BMI和DSQL评分较治疗前均降低(P<0.05),观察组BMI、HbA1c、FINS、HOMA-β、HOMA-IR水平和DSQL评分改善程度均优于对照组(P<0.05)。治疗3个月内,观察组低血糖发生率、不良反应发生率较对照组均更低(P<0.05)。结论:多次胰岛素注射转换为基础胰岛素联合GLP-1受体激动剂方案治疗超重肥胖T2DM患者可有效控制血糖,改善胰岛功能,降低BMI水平,可在提高患者生活质量的同时减少低血糖不良反应发生风险。展开更多
Recent deep neural network(DNN)based blind image quality assessment(BIQA)approaches take mean opinion score(MOS)as ground-truth labels,which would lead to cross-datasets biases and limited generalization ability of th...Recent deep neural network(DNN)based blind image quality assessment(BIQA)approaches take mean opinion score(MOS)as ground-truth labels,which would lead to cross-datasets biases and limited generalization ability of the DNN-based BIQA model.This work validates the natural instability of MOS through investigating the neuropsychological characteristics inside the human visual system during quality perception.By combining persistent homology analysis with electroencephalogram(EEG),the physiologically meaningful features of the brain responses to different distortion levels are extracted.The physiological features indicate that although volunteers view exactly the same image content,their EEG features are quite varied.Based on the physiological results,we advocate treating MOS as noisy labels and optimizing the DNN based BIQA model with earlystop strategies.Experimental results on both innerdataset and cross-dataset demonstrate the superiority of our optimization approach in terms of generalization ability.展开更多
基金supported by the National Natural Science Foundation of China (No.52394252)the Postdoctoral Fellowship Program of CPSF (No.GZC20232497)+2 种基金the Key Research and Development Program of Shandong Province,China (No.2021ZLGX04)the Shandong Postdoctoral Science Foundation (No.SDBX2023012)the Qingdao Postdoctoral Program Grant (No.QDBSH20230202009)。
文摘Underwater target motion estimation is a challenge for ocean military and scientific research.In this work,we propose a method based on the combination of polarization imaging and optical flow for turbid underwater target detection.Polarization imaging can reduce the influence of backscattered light and obtain high-quality images underwater.The optical flow shows the motion and structural information of the target.We use polarized optical flow to obtain the optical flow field and estimate the target motion.The experimental results of different targets under varying water turbidity levels illustrate that our method is realizable and robust.The precision is verified by comparing the results with the precise displacement data and calculating two error measures.The proposed method based on polarized optical flow can obtain accurate displacement information and a good recognition effect.Moving target segmentation based on the Otsu method further proves the superiority of the polarized optical flow under turbid water.This study is valuable for target detection and motion estimation in scattering environments.
文摘目的:观察多次胰岛素注射转换为基础胰岛素联合胰高血糖素样肽-1(GLP-1)受体激动剂方案治疗超重肥胖2型糖尿病(T2DM)的效果及对生活质量的影响。方法:选择2019年8月-2021年8月在江门市五邑中医院就诊的80例超重肥胖T2DM患者为研究对象。按随机数字表法分为观察组(n=40)和对照组(n=40)。所有患者研究前均采用多次胰岛素注射方案,且嘱患者糖尿病饮食并加强运动锻炼。对照组无转换用药,继续多次胰岛素注射方案,观察组转换用药,多次胰岛素转换为基础胰岛素联合胰高血糖素样肽-1(GLP-1)受体激动剂方案,比较治疗前及治疗3个月后两组BMI和血糖相关指标[糖化血红蛋白(HbA1c)、空腹血糖(FBG)、餐后2 h血糖(2 h PG)]变化,比较两组胰岛功能[空腹胰岛素(FINS)、胰岛β细胞功能(HOMA-β)和胰岛素抵抗指数(HOMA-IR)]和生活质量[糖尿病生存质量特异性量表(DSQL)]差异,比较治疗3个月内两组不良反应发生情况差异。结果:治疗3个月后,两组FBG、2 h PG、HbA1c和HOMA-IR较治疗前均降低,FINS和HOMA-β较治疗前均升高,观察组BMI和DSQL评分较治疗前均降低(P<0.05),观察组BMI、HbA1c、FINS、HOMA-β、HOMA-IR水平和DSQL评分改善程度均优于对照组(P<0.05)。治疗3个月内,观察组低血糖发生率、不良反应发生率较对照组均更低(P<0.05)。结论:多次胰岛素注射转换为基础胰岛素联合GLP-1受体激动剂方案治疗超重肥胖T2DM患者可有效控制血糖,改善胰岛功能,降低BMI水平,可在提高患者生活质量的同时减少低血糖不良反应发生风险。
基金supported by the Medium and Long-term Science and Technology Plan for Radio,Television,and Online Audiovisuals(2023AC0200)the Public Welfare Technology Application Research Project of Zhejiang Province,China(No.LGF21F010001).
文摘Recent deep neural network(DNN)based blind image quality assessment(BIQA)approaches take mean opinion score(MOS)as ground-truth labels,which would lead to cross-datasets biases and limited generalization ability of the DNN-based BIQA model.This work validates the natural instability of MOS through investigating the neuropsychological characteristics inside the human visual system during quality perception.By combining persistent homology analysis with electroencephalogram(EEG),the physiologically meaningful features of the brain responses to different distortion levels are extracted.The physiological features indicate that although volunteers view exactly the same image content,their EEG features are quite varied.Based on the physiological results,we advocate treating MOS as noisy labels and optimizing the DNN based BIQA model with earlystop strategies.Experimental results on both innerdataset and cross-dataset demonstrate the superiority of our optimization approach in terms of generalization ability.
