Shadow and variable illumination considerably influence the results of image understanding such as image segmentation, object tracking, and object recognition. The intrinsic image decomposition is to separate the refl...Shadow and variable illumination considerably influence the results of image understanding such as image segmentation, object tracking, and object recognition. The intrinsic image decomposition is to separate the reflectance and the illumination image from an observed image. The intrinsic image decomposition is very useful to remove shadows and then improve the performance of image understanding. In this paper, we present a new shadow removal method based on intrinsic image decomposition on a single color image using the Fisher Linear Discriminant (FLD). Under the assumptions-Lambertian surfaces, approximately Planckian lighting, and narrowband camera sensors, there exist an invariant image, which is 1-dimensional greyscale and independent of illuminant color and intensity. The Fisher Linear Discriminant is applied to create the invariant image. And further the shadows can be removed through the difference between invariant image and original color image. The experimental results on real data show good performance of this algorithm.展开更多
It is true that the world we have today is not the world we use to know. The Covid-19 pandemic has paralyzed all sector, hence the need for safety and enabling environment for mankind is of high importance. Adsorption...It is true that the world we have today is not the world we use to know. The Covid-19 pandemic has paralyzed all sector, hence the need for safety and enabling environment for mankind is of high importance. Adsorption technology is far the best and cheapest treatment technology for water and has extensively proven its worth for the uptake of micro-pollutant from surface, ground and water which are the major channels of home water. Over the years activated carbon is considered as the most common and universally used adsorbent for the eradication of different types of micro-pollutants from water. The contamination of surface water by micro-pollutant is a potential threat for the production of high quality and safe drinking water. Adsorption operation onto granulated activated carbon (GAC) in fixed-bed filters is often applied as a remedying step in the synthesis of safe and drinkable water. Activated carbon actively tends to act as a carrier material for a thin usually resistant layer of microorganisms (mostly bacteria) that forms on the coat of various surfaces (biofilm), hence biological simplification can be an alternative removal approach that can be adopted in granulated activated carbon filters. To evaluate the capacity of biofilm to biologically simplify micro-pollutants, it is very imperative to distinguish adsorption from biological simplification (biodegradation) as a removal mechanism. Experiment was carried out under the operating condition of a temperature range of 6?C to 20?C with biologically activated and autoclaved GAC to assess the biological simplification by the biofilm adsorbed on the GAC surface. Five micro-pollutants were selected as model compounds, of which some of them were biologically simplified by the GAC biofilm. Additionally, we observed that temperature can increase or decrease adsorption. Conclusively, comparison was made on the adsorption capacity of granulated activated carbon used for more than 50,000 beds.展开更多
利用TIGGE（THORPEX Interactive Grand Global Ensemble）资料中的CMC、ECMWF、NCEP和UKMO 4个中心全球集合预报模式对2007年10月3日—2008年2月29日逐日累积降水进行多模式集成预报试验。通过集合平均、多模式消除偏差集合平均、加权...利用TIGGE（THORPEX Interactive Grand Global Ensemble）资料中的CMC、ECMWF、NCEP和UKMO 4个中心全球集合预报模式对2007年10月3日—2008年2月29日逐日累积降水进行多模式集成预报试验。通过集合平均、多模式消除偏差集合平均、加权消除偏差集成3种方法进行试验对比,重点分析各中心模式及多模式集成的240~360h（10~15d）延伸期预报的检验效果。结果表明,多模式集成对逐日累积降水240~360h延伸期预报优于单个中心模式,将逐日降水的预报时效提高了72~168h。3种集成方法对比发现,多模式消除偏差集合平均方法预报效果最好,该方法将晴雨量级的降水预报时效在中短期和延伸期至少提高了1d和5d。展开更多
文摘Shadow and variable illumination considerably influence the results of image understanding such as image segmentation, object tracking, and object recognition. The intrinsic image decomposition is to separate the reflectance and the illumination image from an observed image. The intrinsic image decomposition is very useful to remove shadows and then improve the performance of image understanding. In this paper, we present a new shadow removal method based on intrinsic image decomposition on a single color image using the Fisher Linear Discriminant (FLD). Under the assumptions-Lambertian surfaces, approximately Planckian lighting, and narrowband camera sensors, there exist an invariant image, which is 1-dimensional greyscale and independent of illuminant color and intensity. The Fisher Linear Discriminant is applied to create the invariant image. And further the shadows can be removed through the difference between invariant image and original color image. The experimental results on real data show good performance of this algorithm.
基金the National Key R&D Program (No. 2022YFC2904900)the National Natural Science Foundation of China (No. U1902221)+2 种基金the Construction of High-level Talents of Kunming University of Science and Technology,China (No. 20210172)the Leading Talents of Industrial Technology in Ten Thousand Talents Plan of Yunnan Province,Chinathe Scientist Studio of Yunnan Province,China。
文摘It is true that the world we have today is not the world we use to know. The Covid-19 pandemic has paralyzed all sector, hence the need for safety and enabling environment for mankind is of high importance. Adsorption technology is far the best and cheapest treatment technology for water and has extensively proven its worth for the uptake of micro-pollutant from surface, ground and water which are the major channels of home water. Over the years activated carbon is considered as the most common and universally used adsorbent for the eradication of different types of micro-pollutants from water. The contamination of surface water by micro-pollutant is a potential threat for the production of high quality and safe drinking water. Adsorption operation onto granulated activated carbon (GAC) in fixed-bed filters is often applied as a remedying step in the synthesis of safe and drinkable water. Activated carbon actively tends to act as a carrier material for a thin usually resistant layer of microorganisms (mostly bacteria) that forms on the coat of various surfaces (biofilm), hence biological simplification can be an alternative removal approach that can be adopted in granulated activated carbon filters. To evaluate the capacity of biofilm to biologically simplify micro-pollutants, it is very imperative to distinguish adsorption from biological simplification (biodegradation) as a removal mechanism. Experiment was carried out under the operating condition of a temperature range of 6?C to 20?C with biologically activated and autoclaved GAC to assess the biological simplification by the biofilm adsorbed on the GAC surface. Five micro-pollutants were selected as model compounds, of which some of them were biologically simplified by the GAC biofilm. Additionally, we observed that temperature can increase or decrease adsorption. Conclusively, comparison was made on the adsorption capacity of granulated activated carbon used for more than 50,000 beds.
文摘利用TIGGE（THORPEX Interactive Grand Global Ensemble）资料中的CMC、ECMWF、NCEP和UKMO 4个中心全球集合预报模式对2007年10月3日—2008年2月29日逐日累积降水进行多模式集成预报试验。通过集合平均、多模式消除偏差集合平均、加权消除偏差集成3种方法进行试验对比,重点分析各中心模式及多模式集成的240~360h（10~15d）延伸期预报的检验效果。结果表明,多模式集成对逐日累积降水240~360h延伸期预报优于单个中心模式,将逐日降水的预报时效提高了72~168h。3种集成方法对比发现,多模式消除偏差集合平均方法预报效果最好,该方法将晴雨量级的降水预报时效在中短期和延伸期至少提高了1d和5d。
