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Classification of African Mosaic Virus Infected Cassava Leaves by the Use of Multi-Spectral Imaging

Optics and Photonics Journal 2015年第8期5卷 261-272页

作者： Mama Sangare Thérèse Atcham Agneroh olivier kossan bagui Issiaka Traore Abdramane Ba Jeremie Thouakesseh Zoueu Laboratoire d’Optique de Spectroscopie et des Sciences de l’Atmosphere Université des Sciences Techniques et Technologies de Bamako (USTTB) Bamako Mali Laboratoire de Phytopathologie et Biologie Végétale Institut National Polytechnique Felix Houphou&#235 t-Boigny Yamoussoukro Cote d’Ivoire Laboratoire d’Instrumentation Image et Spectroscopie Institut National Polytechnique Felix Houphou&#235 t-Boigny Yamoussoukro Cote d’Ivoire

In this work, we have used multispectral imaging technology to classify cassava leaves infected by African mosaic virus by the use of their unique spectral finger print. The spectra are extracted from transmission, reflection and diffusion of their multispectral images;they have been then analyzed with statistical multivariate analysis techniques. Principal component analysis (PCA) has been used followed by K-means and Ascending Hierarchical Classification (AHC) to endorse the classification. The contribution of this work is the use of multispectral imagery which binds both spatial and spectral information to differentiate and sort infected leaves. The results show that the multimodal and imaging spectroscopy may allow blind identification and characterization of infected leaves.

关键词： Classification Infected Leaves African Cassava Mosaic Virus Multispectral Imaging

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Structured Imagery Processing Strategies for Spectroscopic Measurement in Dense Solutions

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Open Journal of Applied Sciences 2017年第6期7卷 262-281页

作者： Thomas Koffi Guy-Oscar Regnima Jocelyne Bosson olivier bagui Mensah Edoé Jérémie T. Zoueu Laboratoire d’Instrumentation Image et Spectroscopie(L2IS) Institut National Polytechnique Felix Houphou&euml t-Boigny Departementde Formation et de Recherche du Genie Electrique et Electronique Yamoussoukro C&ocirc te d’Ivoire Laboratoire de physique Fondamantale Appliquée(LPFA) Université NanguiAbrogoua Unité de Formation et de Recherche des Sciences Fondamentales Appliquées Abidjan C&ocirc te d’Ivoire

Absorbance measurement in dense media via conventional optical spectroscopy techniques leads to inaccurate results. This is mainly due to multiple scattering phenomena that contribute to the overall light extinction in the interrogated sample. This limitation imposes the use of dilute solutions for absorption spectroscopy. However, depending on the polarity of the solvent used, the absorption spectrum may vary over a given solution. Structured illumination technique offers an alternative to this problem, and provides the ability to calculate in-situ optical properties in dense media. In this paper, we propose two processing methods applied to images acquired by structured laser illumination planar imaging (SLIPI) technique to extract extinction coefficients μ_e of probed solutions: The first is based on the implementation of principal component analysis (PCA) and the second, on the calculation of Mean Value. In practice, two kinds of studies were carried out: one quantitative set of measurements within chlorophyll liquid solutions and a second set with concentrated coffee solutions, with controlled proportion and concentrations for each sample. These two proposed analytical techniques are advantageous because they are very easy to implement and provide a much simpler alternative to the previous one. Both methods offer satisfactory results, similar to those obtained with the original method which is based on 1D Fourier transform.

关键词： Spectrophotometry Dense Media Extinction Coefficient Structured Illumination Principal Component Analysis

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