Myostatin, with a highly conservative gene among breeds is a negative regulator of muscle. The 3′ coding regions of wild boar and crossbred pig myostatin were cloned by RT-PCR and sequenced respectively. The homology...Myostatin, with a highly conservative gene among breeds is a negative regulator of muscle. The 3′ coding regions of wild boar and crossbred pig myostatin were cloned by RT-PCR and sequenced respectively. The homology of the nucleotide sequence between wild boar and crossbred pig was 100% and there was no difference in this region compared with pig myostatin gene of Genbank. This indicated that there was not change of gene sequence in this region during the evolution processes.展开更多
提出一个基于改进的Itti-Koch模型的感兴趣区域(Region of interest,ROI)提取算法,同时针对图像亮度特征对ROI提取的影响问题,从2个方面进行分析研究:一是根据不同亮度权重下提取的ROI,分析亮度特征对ROI提取的影响程度;二是对眼动数据...提出一个基于改进的Itti-Koch模型的感兴趣区域(Region of interest,ROI)提取算法,同时针对图像亮度特征对ROI提取的影响问题,从2个方面进行分析研究:一是根据不同亮度权重下提取的ROI,分析亮度特征对ROI提取的影响程度;二是对眼动数据提取图像的ROI和基于改进的Itti-Koch模型提取的图像ROI进行区域评价,计算两者之间的点对点区域相似度和位置区域相似度。研究结果表明:当亮度特征和颜色特征同时影响图像ROI提取时,亮度特征所占权重不宜超过0.5。展开更多
SAR图像感兴趣目标区域(Region Of Interest,ROI)的提取是目标识别的基础。该文针对SAR图像中车辆目标ROI提取问题,系统分析了ROI提取过程的关键环节,提出了采用基于有序数据可变索引(Ordered Data Variability Index,ODVI)的自适应CFA...SAR图像感兴趣目标区域(Region Of Interest,ROI)的提取是目标识别的基础。该文针对SAR图像中车辆目标ROI提取问题,系统分析了ROI提取过程的关键环节,提出了采用基于有序数据可变索引(Ordered Data Variability Index,ODVI)的自适应CFAR方法实现目标的恒虚警检测,同时对ROI切片计算鉴别特征,并实现序贯鉴别。最后利用X波段SAR图像数据验证了该文的ROI提取技术,给出了鉴别输出的ROI,处理结果显示该文算法能准确提取车辆目标ROI,有效消除虚警。展开更多
文摘Myostatin, with a highly conservative gene among breeds is a negative regulator of muscle. The 3′ coding regions of wild boar and crossbred pig myostatin were cloned by RT-PCR and sequenced respectively. The homology of the nucleotide sequence between wild boar and crossbred pig was 100% and there was no difference in this region compared with pig myostatin gene of Genbank. This indicated that there was not change of gene sequence in this region during the evolution processes.
文摘提出一个基于改进的Itti-Koch模型的感兴趣区域(Region of interest,ROI)提取算法,同时针对图像亮度特征对ROI提取的影响问题,从2个方面进行分析研究:一是根据不同亮度权重下提取的ROI,分析亮度特征对ROI提取的影响程度;二是对眼动数据提取图像的ROI和基于改进的Itti-Koch模型提取的图像ROI进行区域评价,计算两者之间的点对点区域相似度和位置区域相似度。研究结果表明:当亮度特征和颜色特征同时影响图像ROI提取时,亮度特征所占权重不宜超过0.5。
文摘SAR图像感兴趣目标区域(Region Of Interest,ROI)的提取是目标识别的基础。该文针对SAR图像中车辆目标ROI提取问题,系统分析了ROI提取过程的关键环节,提出了采用基于有序数据可变索引(Ordered Data Variability Index,ODVI)的自适应CFAR方法实现目标的恒虚警检测,同时对ROI切片计算鉴别特征,并实现序贯鉴别。最后利用X波段SAR图像数据验证了该文的ROI提取技术,给出了鉴别输出的ROI,处理结果显示该文算法能准确提取车辆目标ROI,有效消除虚警。
