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  • Open Access

    PROCEEDINGS

    In-Vivo Chromophore Characterization of the Human Skin

    Qiaoyun Yu, Shibin Wang*, Zhiyong Wang, Chuanwei Li, Linan Li

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.011080

    Abstract The concentration of chromophores in the human skin provides crucial information for non-invasive skin diagnostics, particularly in clinical and dermatological applications [1,2]. However, only a few studies have reported chromophore concentration measurements at different skin depths [3,4]. This paper introduces a method for the tomographic measurement of skin chromophore concentrations using reflectance spectra. By considering the variations in hemoglobin content at different skin depths, we developed a dual-band skin reflectance spectral model and employed a hyperspectral camera to measure the in vivo spectral reflectance of the human skin. Chromophores including oxyhemoglobin, deoxyhemoglobin, blood oxygen, and melanin… More >

  • Open Access

    ARTICLE

    A Sensitive Wavebands Identification System for Smart Farming

    M. Kavitha*, M. Sujaritha

    Computer Systems Science and Engineering, Vol.43, No.1, pp. 245-257, 2022, DOI:10.32604/csse.2022.023320 - 23 March 2022

    Abstract Sensing the content of macronutrients in the agricultural soil is an essential task in precision agriculture. It helps the farmers in the optimal use of fertilizers. It reduces the cost of food production and also the negative environmental impacts on atmosphere and water bodies due to indiscriminate dosage of fertilizers. The traditional chemical-based laboratory soil analysis methods do not serve the purpose as they are hardly suitable for site specific soil management. Moreover, the spectral range used in the chemical-based laboratory soil analysis may be of 350–2500 nm, which leads to redundancy and confusion. Developing sensors… More >

  • Open Access

    ARTICLE

    Hyperspectral Reflectance Imaging for Detecting Typical Defects of Durum Kernel Surface

    Feng-Nong Chena,b#, Pu-Lan Chenc#, Kai Fana, Fang Chengd

    Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 351-358, 2018, DOI:10.1080/10798587.2017.1293927

    Abstract In recent years, foodstuff quality has triggered tremendous interest and attention in our society as a series of food safety problems. The hyperspectral imaging techniques have been widely applied for foodstuff quality. In this study, we were undertaken to explore the possibility of unsound kernel detecting (Triticum durum Desf), which were defined as black germ kernels, moldy kernels and broken kernels, by selecting the best band in hyperspectral imaging system. The system possessed a wavelength in the range of 400 to 1,000  nm with neighboring bands 2.73  nm apart, acquiring images of bulk wheat samples… More >

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