In this paper, an adaptive noise detection and removal algorithm using local statistics for salt-and-pepper noise are proposed. In order to determine constraints for noise detection, the local mean, varianoe, and maxi...In this paper, an adaptive noise detection and removal algorithm using local statistics for salt-and-pepper noise are proposed. In order to determine constraints for noise detection, the local mean, varianoe, and maximum value are used. In addition, a weighted median filter is employed to remove the detected noise. The simulation results show the capability of the proposed algorithm removes the noise effectively.展开更多
Globally,salinity is a brutal environmental constraint that poses a major threat to agriculture worldwide,causing nutrient imbalances and oxidative stress,leading to reduced crop yields and quality.Date palm waste fro...Globally,salinity is a brutal environmental constraint that poses a major threat to agriculture worldwide,causing nutrient imbalances and oxidative stress,leading to reduced crop yields and quality.Date palm waste from the agro-industry is a major environmental problem,but its conversion to biochar for soil amendment could help alleviate the effects of salinity stress.Pepper is a commonly grown horticultural crop that is sensitive to salinity.That’s why the current experiment was conducted with the novel idea of exploring the potential use of biochar-based fertilizer derived from date palm waste as a mitigation strategy for salinity-related problems in pepper.The study was conducted as a pot experiment in a growth chamber under controlled conditions.The experiment con-sisted of four treatment groups:Control(no salinity stress);BM350E(biochar application only);NaCl(salinity stress without biochar application);BM350E+NaCl(combined biochar and salinity stress application).The soil was amended with biochar at a concentration of 3 g kg^(-1) soil and pepper seedlings were exposed to salinity stress with 150 mM NaCl for seven days.The morphological,biochemical,and physiological responses were then eval-uated.The use of BM350E biochar significantly improved plant growth under saline conditions,increasing shoot fresh weight by 9.41%,root fresh weight by 15.32%,shoot length by 5.22%,and root length by 12.57%.It also increased chlorophyll a(Chl.a)by 8.28%,chlorophyll b(Chl.b)by 80.20%,and carotenoids(Car)by 52.43%while increasing antioxidant enzyme activities.In conclusion,BM350E biochar has the potential to effectively mitigate the negative effects of salinity on pepper growth.展开更多
目的:为消除手术器械视觉图像中的高斯与椒盐噪声,并恢复图像的细节特征,提出一种基于深度学习的手术器械视觉图像高斯与椒盐噪声去除方法。方法:首先,构建由多特征融合编码器解码器网络、注意力引导网络和细节恢复渐进式网络3个部分组...目的:为消除手术器械视觉图像中的高斯与椒盐噪声,并恢复图像的细节特征,提出一种基于深度学习的手术器械视觉图像高斯与椒盐噪声去除方法。方法:首先,构建由多特征融合编码器解码器网络、注意力引导网络和细节恢复渐进式网络3个部分组成的轻量级多任务渐进式网络,使用多特征融合编码器解码器网络预测视觉图像中的噪声信息,并从原图像中去除,使用注意力引导网络进一步去除图像中的残留噪声,使用细节恢复渐进式网络对去噪图像的底层细节特征进行恢复。其次,对轻量级多任务渐进式网络进行轻量化设计,将细节恢复渐进式网络中的部分常规卷积替换为深度可分离卷积。最后,在公开的CBSD68、Kodak24数据集和自建的手术器械噪声数据集上进行去噪实验,比较基于轻量级多任务渐进式网络的去噪方法与经典去噪方法的去噪效果,ResNet-18模型和ResNet-34模型对采用轻量级多任务渐进式网络去噪后的图像的分类准确率,并分析轻量化设计前后的算力和内存占用情况。结果:在公开数据集上,所提出的方法较经典的去噪方法取得了更好的去噪效果。在手术器械噪声数据集上,ResNet-18模型和ResNet-34模型对采用轻量级多任务渐进式网络去噪后的图像分类准确率更高。经过轻量化设计的去噪方法的参数量和浮点运算数(floating point operations,FLOPs)分别减少了约27.27%和29.81%。结论:基于深度学习的手术器械视觉图像高斯与椒盐噪声去除方法具有优秀的手术器械视觉图像去噪性能,且具有更少的算力消耗和内存占用。展开更多
【目的】为研究γ-氨基丁酸(GABA)种子引发处理对盐胁迫下辣椒种子萌发和幼苗生长的效果及其可能机制。【方法】以茂蔬360朝天椒为材料,通过不同浓度γ-氨基丁酸(0、1.0、2.0、4.0、6.0、8.0μmol/L)种子引发处理,分析了100 mM NaCl模...【目的】为研究γ-氨基丁酸(GABA)种子引发处理对盐胁迫下辣椒种子萌发和幼苗生长的效果及其可能机制。【方法】以茂蔬360朝天椒为材料,通过不同浓度γ-氨基丁酸(0、1.0、2.0、4.0、6.0、8.0μmol/L)种子引发处理,分析了100 mM NaCl模拟盐胁迫下的辣椒种子萌发及幼苗生长的形态、生理和生化指标,【结果】浓度为6.0μmol/L的GABA引发处理显著增加了辣椒种子的可溶性糖、可溶性蛋白含量,降低了O_(2)-·和MDA的积累,提高了CAT酶活性、ASA及DHA含量;GABA引发处理提高了辣椒种子盐胁迫下发芽率22.6%、发芽势9.91倍、发芽指数56.3%及活力指数70.6%;GABA引发处理增加了盐胁迫下辣椒幼苗的地上部鲜质量、根系鲜质量、干质量及株高,降低了幼苗MDA含量、可溶性糖和脯氨酸含量,增加了SOD、CAT和APX活性。【结论】GABA通过提前启动种子贮藏物质的代谢及调控抗氧化防御能力增强辣椒种子萌发能力及耐盐性,并且在幼苗阶段再遇盐碱胁迫下,调控渗透调节物质含量和增强抗氧化酶活性,增加幼苗对盐胁迫的耐受性。展开更多
基金supported by the Korea Science and Engineering Foundation(KOSEF)granted bythe Korea government(MEST)(No.2009-0079776)
文摘In this paper, an adaptive noise detection and removal algorithm using local statistics for salt-and-pepper noise are proposed. In order to determine constraints for noise detection, the local mean, varianoe, and maximum value are used. In addition, a weighted median filter is employed to remove the detected noise. The simulation results show the capability of the proposed algorithm removes the noise effectively.
基金This research was financially supported by the National Agency of Agricultural Research of the Czech Republic(Project No.QK22020008)the Technological Agency of the Czech Republic(Project No.TQ03000234)the Ministry of Agriculture(CR),institutional support MZERO0123.
文摘Globally,salinity is a brutal environmental constraint that poses a major threat to agriculture worldwide,causing nutrient imbalances and oxidative stress,leading to reduced crop yields and quality.Date palm waste from the agro-industry is a major environmental problem,but its conversion to biochar for soil amendment could help alleviate the effects of salinity stress.Pepper is a commonly grown horticultural crop that is sensitive to salinity.That’s why the current experiment was conducted with the novel idea of exploring the potential use of biochar-based fertilizer derived from date palm waste as a mitigation strategy for salinity-related problems in pepper.The study was conducted as a pot experiment in a growth chamber under controlled conditions.The experiment con-sisted of four treatment groups:Control(no salinity stress);BM350E(biochar application only);NaCl(salinity stress without biochar application);BM350E+NaCl(combined biochar and salinity stress application).The soil was amended with biochar at a concentration of 3 g kg^(-1) soil and pepper seedlings were exposed to salinity stress with 150 mM NaCl for seven days.The morphological,biochemical,and physiological responses were then eval-uated.The use of BM350E biochar significantly improved plant growth under saline conditions,increasing shoot fresh weight by 9.41%,root fresh weight by 15.32%,shoot length by 5.22%,and root length by 12.57%.It also increased chlorophyll a(Chl.a)by 8.28%,chlorophyll b(Chl.b)by 80.20%,and carotenoids(Car)by 52.43%while increasing antioxidant enzyme activities.In conclusion,BM350E biochar has the potential to effectively mitigate the negative effects of salinity on pepper growth.
文摘目的:为消除手术器械视觉图像中的高斯与椒盐噪声,并恢复图像的细节特征,提出一种基于深度学习的手术器械视觉图像高斯与椒盐噪声去除方法。方法:首先,构建由多特征融合编码器解码器网络、注意力引导网络和细节恢复渐进式网络3个部分组成的轻量级多任务渐进式网络,使用多特征融合编码器解码器网络预测视觉图像中的噪声信息,并从原图像中去除,使用注意力引导网络进一步去除图像中的残留噪声,使用细节恢复渐进式网络对去噪图像的底层细节特征进行恢复。其次,对轻量级多任务渐进式网络进行轻量化设计,将细节恢复渐进式网络中的部分常规卷积替换为深度可分离卷积。最后,在公开的CBSD68、Kodak24数据集和自建的手术器械噪声数据集上进行去噪实验,比较基于轻量级多任务渐进式网络的去噪方法与经典去噪方法的去噪效果,ResNet-18模型和ResNet-34模型对采用轻量级多任务渐进式网络去噪后的图像的分类准确率,并分析轻量化设计前后的算力和内存占用情况。结果:在公开数据集上,所提出的方法较经典的去噪方法取得了更好的去噪效果。在手术器械噪声数据集上,ResNet-18模型和ResNet-34模型对采用轻量级多任务渐进式网络去噪后的图像分类准确率更高。经过轻量化设计的去噪方法的参数量和浮点运算数(floating point operations,FLOPs)分别减少了约27.27%和29.81%。结论:基于深度学习的手术器械视觉图像高斯与椒盐噪声去除方法具有优秀的手术器械视觉图像去噪性能,且具有更少的算力消耗和内存占用。
文摘【目的】为研究γ-氨基丁酸(GABA)种子引发处理对盐胁迫下辣椒种子萌发和幼苗生长的效果及其可能机制。【方法】以茂蔬360朝天椒为材料,通过不同浓度γ-氨基丁酸(0、1.0、2.0、4.0、6.0、8.0μmol/L)种子引发处理,分析了100 mM NaCl模拟盐胁迫下的辣椒种子萌发及幼苗生长的形态、生理和生化指标,【结果】浓度为6.0μmol/L的GABA引发处理显著增加了辣椒种子的可溶性糖、可溶性蛋白含量,降低了O_(2)-·和MDA的积累,提高了CAT酶活性、ASA及DHA含量;GABA引发处理提高了辣椒种子盐胁迫下发芽率22.6%、发芽势9.91倍、发芽指数56.3%及活力指数70.6%;GABA引发处理增加了盐胁迫下辣椒幼苗的地上部鲜质量、根系鲜质量、干质量及株高,降低了幼苗MDA含量、可溶性糖和脯氨酸含量,增加了SOD、CAT和APX活性。【结论】GABA通过提前启动种子贮藏物质的代谢及调控抗氧化防御能力增强辣椒种子萌发能力及耐盐性,并且在幼苗阶段再遇盐碱胁迫下,调控渗透调节物质含量和增强抗氧化酶活性,增加幼苗对盐胁迫的耐受性。
