The detection and characterization of human veins using infrared (IR) image processing have gained significant attention due to its potential applications in biometric identification, medical diagnostics, and vein-bas...The detection and characterization of human veins using infrared (IR) image processing have gained significant attention due to its potential applications in biometric identification, medical diagnostics, and vein-based authentication systems. This paper presents a low-cost approach for automatic detection and characterization of human veins from IR images. The proposed method uses image processing techniques including segmentation, feature extraction, and, pattern recognition algorithms. Initially, the IR images are preprocessed to enhance vein structures and reduce noise. Subsequently, a CLAHE algorithm is employed to extract vein regions based on their unique IR absorption properties. Features such as vein thickness, orientation, and branching patterns are extracted using mathematical morphology and directional filters. Finally, a classification framework is implemented to categorize veins and distinguish them from surrounding tissues or artifacts. A setup based on Raspberry Pi was used. Experimental results of IR images demonstrate the effectiveness and robustness of the proposed approach in accurately detecting and characterizing human. The developed system shows promising for integration into applications requiring reliable and secure identification based on vein patterns. Our work provides an effective and low-cost solution for nursing staff in low and middle-income countries to perform a safe and accurate venipuncture.展开更多
Citrus yellow vein clearing virus(CYVCV)is the causal agent of yellow vein clearing disease,a significant and devastating disease of most citrus species including lemon and sour orange.CYVCV,a single-strand positive-s...Citrus yellow vein clearing virus(CYVCV)is the causal agent of yellow vein clearing disease,a significant and devastating disease of most citrus species including lemon and sour orange.CYVCV,a single-strand positive-sense RNA virus containing six ORFs(Open Reading Frames),represents a new species in the genus Mandarivirus of the Alphaflexiviridae family.The virus can cause particularly serious damage,resulting in reduced tree vigor,lower yields,and decreased marketability of fruit production,and it has been found in India,Turkey,Pakistan,China and Iran.Here we described the geographical distribution of the virus,its transmission mode by grafting,mechanical inoculation,and insects,as well as currently available techniques for detection.In addition,we also discussed practical measures aimed at controlling the disease and provided theoretical guidance to prevent the acquisition and spread of the disease that is a significant step toward ensuring the health of the citrus industry.展开更多
文摘The detection and characterization of human veins using infrared (IR) image processing have gained significant attention due to its potential applications in biometric identification, medical diagnostics, and vein-based authentication systems. This paper presents a low-cost approach for automatic detection and characterization of human veins from IR images. The proposed method uses image processing techniques including segmentation, feature extraction, and, pattern recognition algorithms. Initially, the IR images are preprocessed to enhance vein structures and reduce noise. Subsequently, a CLAHE algorithm is employed to extract vein regions based on their unique IR absorption properties. Features such as vein thickness, orientation, and branching patterns are extracted using mathematical morphology and directional filters. Finally, a classification framework is implemented to categorize veins and distinguish them from surrounding tissues or artifacts. A setup based on Raspberry Pi was used. Experimental results of IR images demonstrate the effectiveness and robustness of the proposed approach in accurately detecting and characterizing human. The developed system shows promising for integration into applications requiring reliable and secure identification based on vein patterns. Our work provides an effective and low-cost solution for nursing staff in low and middle-income countries to perform a safe and accurate venipuncture.
基金This research was supported by Fundamental Research Funds for the CentralUniversities,China(Grant No.XDJK2015D026).Cuihua Liu was the recipient of a scholarship from the China Scholarship Council.Hai Liu,John Hurst,and Michael P.Timko were supported in part by a grant(Award No.GI14732)from 22nd Century Limited,LLC.
文摘Citrus yellow vein clearing virus(CYVCV)is the causal agent of yellow vein clearing disease,a significant and devastating disease of most citrus species including lemon and sour orange.CYVCV,a single-strand positive-sense RNA virus containing six ORFs(Open Reading Frames),represents a new species in the genus Mandarivirus of the Alphaflexiviridae family.The virus can cause particularly serious damage,resulting in reduced tree vigor,lower yields,and decreased marketability of fruit production,and it has been found in India,Turkey,Pakistan,China and Iran.Here we described the geographical distribution of the virus,its transmission mode by grafting,mechanical inoculation,and insects,as well as currently available techniques for detection.In addition,we also discussed practical measures aimed at controlling the disease and provided theoretical guidance to prevent the acquisition and spread of the disease that is a significant step toward ensuring the health of the citrus industry.
