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Image Acquisition and Parameter Calculations for Optimization of the Automatic Identification of Terpenes in a Combined Laser Thin Film Extract

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Advances in Materials Physics and Chemistry 2022年第6期12卷 141-154页

作者： Theodore Guié Toa Bi Wognin Vangah alico nango jérôme Sié Ouattara Alain Clement UFr Science and Technology University of Man Man Ivory Coast Laboratory of Communication and Information Science and Technology (LSTCI) National Polytechnic Institute Houphou&euml t Boigny Yamoussoukro C&ocirc te d’Ivoire University Institute of Technology of Angers (IUT) Angers France

In this work, we propose an original approach to the thin-layer identification of secondary metabolites (terpenes) based on the acquisition of multicomponent images integrating terpenes to be identified. Its principle consists initially of segmentation by region of each component of the image based on the attribute tuples or colors of each region of the digital image. Then we proceeded to the calculations of region parameters such as standard deviation, entropy, average pixel color, eccentricity from an algorithm on the matlab software. These values allowed us to build a database. Finally, we built an algorithm for identifying secondary metabolites (terpenes) on the basis of these data. The relevance of our method of identifying or recognizing terpenes has been demonstrated compared to other methods, such as the one based on the calculation of frontal ratios which cannot discriminate between two terpenes having the same frontal ratio. The robustness of our method with respect to the identification of linalool, limonene was tested.

关键词： Thin Film Terpenes Segmentation Entropy

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New Approach to rock Classification Based on Sparse representations

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Open journal of Applied Sciences 2024年第1期14卷 145-158页

作者： Wognin joseph Vangah Bi G. Théodore Toa alico nango jerôme Ouattara Sie Alain Clément Unité de recherche et d’expertise Numérique (UrEN) Université Virtuelle de C&#244te d’Ivoire (UVCI) Abidjan C&#244te d’Ivoire UFr Sciences et technologique Département de Physique Université polytechnique de Man (UPM) Man C&#244te d’Ivoire Classe Préparatoire des Grandes Ecoles (CPGE) Université de San Pédro (USP) San Pédro C&#244te d’Ivoire Institut National Polytechnique Houphouë t (INPHB) Yamoussoukro C&#244te d’Ivoire Laboratoire Angevin de recherche en Ingénierie des Systèmes (LArIS) Institut Universitaire de Technologie (IUT) Université d’Angers Angers France

In geology, classification and lithological recognition of rocks plays an important role in the area of oil and gas exploration, mineral exploration and geological analysis. In other fields of activity such as construction and decoration, this classification makes sense and fully plays its role. However, this classification is slow, approximate and subjective. Automatic classification curbs this subjectivity and fills this gap by offering methods that reflect human perception. We propose a new approach to rock classification based on direct-view images of rocks. The aim is to take advantage of feature extraction methods to estimate a rock dictionary. In this work, we have developed a classification method obtained by concatenating four (4) K-SVD variants into a single signature. This method is based on the K-SVD algorithm combined with four (4) feature extraction techniques: DCT, Gabor filters, D-ALBPCSF and G-ALBPCSF, resulting in the four (4) variants named K-Gabor, K-DCT, KD-ALBPCSF and KD-ALBPCSF respectively. In this work, we developed a classification method obtained by concatenating four (4) variants of K-SVD. The performance of our method was evaluated on the basis of performance indicators such as accuracy with other 96% success rate.

关键词： rock recognition Dictionary Signature Color Texture K-SVD Variants KD-ALBPCSF Et KG-ALBPCSF

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A New Electronic Instrumentation Approach for the Acquisition of Microscopic Blood Smear Images for the Automatic Diagnosis of Anemia

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Advances in Bioscience and Biotechnology 2020年第6期11卷 237-255页

作者： jerome nango alico Sié Ouattara Alain Clement Laboratoire des Sciences et Technologies de la Communication et de l’Information (LSTCI) Yamoussoukro Cote D’Ivoire Institut National Polytechnique Houphouet Boigny (INPHB) Yamoussoukro Cote D’Ivoire Institut Universitaire de Technologie d’Angers (IUT) Angers France

Anemia is a blood abnormality that affects the quantity and quality of red blood cells in the human body. This sometimes banal sign spares no continent and no social stratum. This anomaly is generally appreciated through biological analyzes of patients’rdana;"> blood. These analyzes, which boil down to the knowledge of hemato-metric constants, cannot by themselves allow the characterization of certain forms of anemia in the sense that most anemia are related to the morphology and color of red blood cells. Our work in this paper is to perform blood smears on patients and perform a morphological and colorimetric analysis of red blood cells on these smears. This approach allowed us to highlight on each erythrocyte morphological and colorimetric descriptors to accurately identify the types of anemia by image processing methods. This identification is performed in an automated environment to allow pathologists to respond quickly to anemia-related emergencies and also improve the treatment to be conducted. This automation required the implementation of a new approach to electronic instrumentation and the acquisition of microscopic blood smear images for the automatic and rapid diagnosis of anemia.

关键词： Anemia Instrumentation Acquisition Automated Blood Smears red Blood Cells Morphological Descriptors Colorimetric Descriptors Image Processing Diagnosis

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