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Automatic Detection and Characterization of Human Veins Using Infra-Red Image Processing

Journal of Computer and Communications 2024年第9期12卷 141-159页

作者： Jean Ndoumbe Brice Ekobo Akoa gaelle patricia talotsing Frederic Franck Kounga Samuel Kaissassou Bertin Chouanmo Njo Laboratory of Computer Engineering Data Science and Artificial Intelligence Department of Computer & Telecommunications Engineering National Higher Polytechnic School Douala Cameroon Laboratory of Electrical Engineering Mechatronics and Signal Processing Department of Electrical & Telecommunications Engineering National Advanced School of Engineering Yaound Cameroon Mobile Computing and Networking Research Laboratory Department of Computer and Software Engineering Polytechnique Montreal Montreal Canada DigiPlus SARL Bonamoussadi Douala Cameroon

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.

关键词： Vein Detection Blood Radiation Infrared Image CLAHE Algorithm Raspberry Pi

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颠覆与重构:数字时代的新闻伦理

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新闻记者 2021年第8期 39-47页

作者：陈昌凤雅畅帕清华大学新闻与传播学院

本文通过对前数字化时代和数字时代的新闻伦理规范进行比较研究,借助历史的视角呈现数字新闻学的伦理要求与价值导向,进而提出数字时代的新闻伦理纾困方案。数字技术所引发的新闻业深刻变革呼唤着与之相适应的新闻伦理。伴随着数字时代... 详细信息

本文通过对前数字化时代和数字时代的新闻伦理规范进行比较研究,借助历史的视角呈现数字新闻学的伦理要求与价值导向,进而提出数字时代的新闻伦理纾困方案。数字技术所引发的新闻业深刻变革呼唤着与之相适应的新闻伦理。伴随着数字时代的新闻实践,新闻伦理关系中的主体、客体及其相互关系发生了变化,适用范围也在扩大。新闻伦理体系为了适应数字时代的变化,从理论到实践正在出现新的探索;开放的媒介伦理观、全球化媒介伦理观是对传统媒介伦理的突破,关怀伦理、技术伦理逐渐体现于实践的新闻规范中。数字新闻伦理需要以"元规范"为指引,重新锚定新闻伦理的核心价值,以回应新闻伦理在多个层面的发展需求。

关键词：数字新闻学新闻伦理元规范伦理转型

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Magnetic Resonance Imaging of Central Nervous System Lesions in HIV/AIDS: About 35 Cases in Libreville (Gabon)

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Open Journal of Radiology 2020年第4期10卷 203-214页

作者： Sessi Miralda Kiki Kofi Mensa Savi de Tové Sonia Adjadohoun gaelle Ebinda Mipinda Djivèdé Akanni patricia Yèkpè-Ahouansou Olivier Biaou Lucien Mwanyombet Philomène Kouna Ndouongo Radiology Department of the El RAPHA Polyclinic in Libreville Libreville Republic of Gabon Regional and Teaching Hospital of Borgou/Medical Imaging Department Faculty of Medicine University of Parakou Parakou Republic of Benin Medical Imaging Department Faculty of Health Sciences University of Abomey Calavi Cotonou Republic of Benin

Background: Sub-Saharan Africa is the region most affected by the Human Immunodeficiency Virus (HIV) with an increasing prevalence of related cognitive impairments. Magnetic Resonance Imaging (MRI) plays an important role in the early detection of lesions. This work aimed to describe the MRI aspects of different brain lesions occurred in HIV positive patients in our practice. Methods: This was a descriptive cross-sectional study that took place from June 2014 to July 2016 in the medical imaging department of the EL RAPHA private Polyclinic in Libreville, Gabon. It included all patients referred for imaging for the exploration of a Central Nervous System (CNS) lesions at MRI, based on clinical and/or paraclinical arguments. Results: Among the 39 patients included, 19 (48.7%) had a previous brain CT scan, 11 of which were normal (28.2%). Thirty-five (89.74%) patients had a pathological MRI. The main etiologies found were toxoplasmosis (37.14%), tuberculosis (17.14%), cerebral atrophy (17.14%) and HIV encephalitis (14.28%). Among the eleven patients with a normal Computer Tomography scan, the MRI found 7 abnormalities including 1 case of toxoplasmosis, 3 cases of HIV encephalitis and 3 cases of Progressive Multifocal Leukoencephalopathy (PML). Conclusion: MRI played an important role in the diagnosis of CNS disorders in HIV-infected individuals. It can be used to differentiate and characterize various brain lesions. Improving its accessibility in sub-Saharan Africa should contribute to better care for people living with HIV.

关键词： HIV Infection Central Nervous System Toxoplasmosis Tuberculosis Magnetic Resonance Imaging

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