In order to address the problem of high false alarm rate and low probabilities of infrared small target detection in complex low-altitude background,an infrared small target detection method based on improved weighted...In order to address the problem of high false alarm rate and low probabilities of infrared small target detection in complex low-altitude background,an infrared small target detection method based on improved weighted local contrast is proposed in this paper.First,the ratio information between the target and local background is utilized as an enhancement factor.The local contrast is calculated by incorporating the heterogeneity between the target and local background.Then,a local product weighted method is designed based on the spatial dissimilarity between target and background to further enhance target while suppressing background.Finally,the location of target is obtained by adaptive threshold segmentation.As experimental results demonstrate,the method shows superior performance in several evaluation metrics compared with six existing algorithms on different datasets containing targets such as unmanned aerial vehicles(UAV).展开更多
Summary What is already known about this topic?Amebiasis is caused by infection with Entamoeba histolytica.As a severe sequence in amebiasis,amoebic dysentery is tracked by China’s National Notifiable Disease Reporti...Summary What is already known about this topic?Amebiasis is caused by infection with Entamoeba histolytica.As a severe sequence in amebiasis,amoebic dysentery is tracked by China’s National Notifiable Disease Reporting System.What is added by this report?From 2005 to 2019,a total of 28,229 cases of amoebic dysentery and 7 resulting deaths were reported in China.The annual incidence rate had significantly decreased from 0.26/100,000 in 2006 to 0.06/100,000 in 2019,and most cases were reported from southern China and in children.展开更多
基金supported by the National Natural Science Foundation of China (No.U1833203),the National Natural Science Foundation of China (No.62301036)the Aviation Science Foundation (No.2020Z019055001)China Postdoctoral Science Foundation Funded Project (No.2022M720446)。
文摘In order to address the problem of high false alarm rate and low probabilities of infrared small target detection in complex low-altitude background,an infrared small target detection method based on improved weighted local contrast is proposed in this paper.First,the ratio information between the target and local background is utilized as an enhancement factor.The local contrast is calculated by incorporating the heterogeneity between the target and local background.Then,a local product weighted method is designed based on the spatial dissimilarity between target and background to further enhance target while suppressing background.Finally,the location of target is obtained by adaptive threshold segmentation.As experimental results demonstrate,the method shows superior performance in several evaluation metrics compared with six existing algorithms on different datasets containing targets such as unmanned aerial vehicles(UAV).
文摘Summary What is already known about this topic?Amebiasis is caused by infection with Entamoeba histolytica.As a severe sequence in amebiasis,amoebic dysentery is tracked by China’s National Notifiable Disease Reporting System.What is added by this report?From 2005 to 2019,a total of 28,229 cases of amoebic dysentery and 7 resulting deaths were reported in China.The annual incidence rate had significantly decreased from 0.26/100,000 in 2006 to 0.06/100,000 in 2019,and most cases were reported from southern China and in children.
