针对红外与可见光图像难以提取特征点实现配准的问题,提出一种基于边缘结构特征的红外与可见光图像配准算法。首先通过优化的显著性算法增强红外图像的结构特征;其次利用相位一致性提取红外和可见光图像的稳定边缘结构;然后提取边缘结构...针对红外与可见光图像难以提取特征点实现配准的问题,提出一种基于边缘结构特征的红外与可见光图像配准算法。首先通过优化的显著性算法增强红外图像的结构特征;其次利用相位一致性提取红外和可见光图像的稳定边缘结构;然后提取边缘结构的ORB(oriented FAST and rotated BRIEF)特征点;最后结合KNN(K-nearest neighbor)算法和余弦相似度对匹配特征点进行筛选,并应用RANSAC(random sample consensus)算法进行提纯。实验表明,该算法能够克服灰度差异的影响,具有较高的配准精度和效率,有助于实现红外与可见光图像的配准。展开更多
Exosomes,ubiquitously present in body fluids,serve as non-invasive biomarkers for disease diagnosis,monitoring,and treatment.As intercellular messengers,exosomes encapsulate a rich array of proteins,nucleic acids,and ...Exosomes,ubiquitously present in body fluids,serve as non-invasive biomarkers for disease diagnosis,monitoring,and treatment.As intercellular messengers,exosomes encapsulate a rich array of proteins,nucleic acids,and metabolites,although most studies have primarily focused on proteins and RNA.Recently,exosome metabolomics has demonstrated clinical value and potential advantages in disease detection and pathophysiology,despite significant challenges,particularly in exosome isolation and metabolite detection.This review discusses the significant technical challenges in exosome isolation and metabolite detection,highlighting the advancements in these areas that support the clinical application of exosome metabolomics,and illustrates the potential of exosomal metabolites from various body fluids as biomarkers for early disease diagnosis and treatment.展开更多
文摘针对红外与可见光图像难以提取特征点实现配准的问题,提出一种基于边缘结构特征的红外与可见光图像配准算法。首先通过优化的显著性算法增强红外图像的结构特征;其次利用相位一致性提取红外和可见光图像的稳定边缘结构;然后提取边缘结构的ORB(oriented FAST and rotated BRIEF)特征点;最后结合KNN(K-nearest neighbor)算法和余弦相似度对匹配特征点进行筛选,并应用RANSAC(random sample consensus)算法进行提纯。实验表明,该算法能够克服灰度差异的影响,具有较高的配准精度和效率,有助于实现红外与可见光图像的配准。
文摘Exosomes,ubiquitously present in body fluids,serve as non-invasive biomarkers for disease diagnosis,monitoring,and treatment.As intercellular messengers,exosomes encapsulate a rich array of proteins,nucleic acids,and metabolites,although most studies have primarily focused on proteins and RNA.Recently,exosome metabolomics has demonstrated clinical value and potential advantages in disease detection and pathophysiology,despite significant challenges,particularly in exosome isolation and metabolite detection.This review discusses the significant technical challenges in exosome isolation and metabolite detection,highlighting the advancements in these areas that support the clinical application of exosome metabolomics,and illustrates the potential of exosomal metabolites from various body fluids as biomarkers for early disease diagnosis and treatment.
