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Unsupervised Segmentation Method of Multicomponent Images based on Fuzzy Connectivity Analysis in the Multidimensional Histograms

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Engineering（科研） 2011年第3期3卷 203-214页

作者： Sié Ouattara georges Laussane loum Alain Clément Laboratoire d"Instrumentation d"Image et de Spectroscopie (L2IS) Institut National Polytechnique Félix Houphouët-Boigny (INPHB) Laboratoire d"Ingénierie des Systèmes Automatisés (LISA) Institut Universitaire de Technologie

Image segmentation denotes a process for partitioning an image into distinct regions, it plays an important role in interpretation and decision making. A large variety of segmentation methods has been developed;among them, multidimensional histogram methods have been investigated but their implementation stays difficult due to the big size of histograms. We present an original method for segmenting n-D (where n is the number of components in image) images or multidimensional images in an unsupervised way using a fuzzy neighbourhood model. It is based on the hierarchical analysis of full n-D compact histograms integrating a fuzzy connected components labelling algorithm that we have realized in this work. Each peak of the histo- gram constitutes a class kernel, as soon as it encloses a number of pixels greater than or equal to a secondary arbitrary threshold knowing that a first threshold was set to define the degree of binary fuzzy similarity be- tween pixels. The use of a lossless compact n-D histogram allows a drastic reduction of the memory space necessary for coding it. As a consequence, the segmentation can be achieved without reducing the colors population of images in the classification step. It is shown that using n-D compact histograms, instead of 1-D and 2-D ones, leads to better segmentation results. Various images were segmented;the evaluation of the quality of segmentation in supervised and unsupervised of segmentation method proposed compare to the classification method k-means gives better results. It thus highlights the relevance of our approach, which can be used for solving many problems of segmentation.

关键词： Multicomponent Images Unsupervised Segmentation n-D Histogram Fuzzy Connected Components Labelling n-D Compact Histogram Evaluation of Segmentation Quality

Study of a Kit of GSM Radio Operator Site for Event-Driven Movable Coverage: Application to the Deployment of a Site of the Orange Operator in Ivory Coast

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International Journal of Communications, Network and System Sciences 2011年第11期4卷 744-755页

作者： Sié Ouattara georges Laussane loum Koné Adama Alain Clément 不详

The mobile communication is nowadays one of the basic needs of humanity. It is essential to the flourishing of human beings. Considering this reality, the need to use its mobile phone is become more important and diversified. The subscribers of the various mobile telephone operators are increasingly demanding. This situation poses the problems of the cover mobile network to the operators and leads them to opt for several solutions and investments. The mobile operators in order to satisfy their customers use a policy of pushing the limits of network coverage in time and space for festive moments in targeted zones. Thus, we have conducted a study on the topic: study of a kit of GSM radio site for event-driven movable coverage. This work is applied to GSM (Global system mobile) network of the operator Orange-Ci, leader of mobile telephony in Ivory Coast. We thus proceeded under investigation initially of the various aspects of the ordinary sites (motionless radio site) which are already deployed with Orange-Ci in order to impregnate us infrastructures and equipment used. This study revealed us that a radio site comprises 4 parts: infrastructures, installations and energy equipments, installations and radio equipments, and installations and equipment of transmission. After the first analysis, we made a study of the movable site. The study of the movable site enabled us to see the various possible solutions to fulfill the basic functions of a movable radio site. After analysis we retained that our radio site will be built on a truck on which a mast of 25 m maximum length for the antennas will be embarked, it will be fed by a generator also embarked on the truck and the solution of transmission selected is the transmission by satellite more precisely technology VSAT. We choose the various equipments (radio, transmission, energy) according to features which we defined to constitute the kit of movable radio site.

关键词： Movable GSM Radio Site Deployment Kit Movable Coverage Even-Driven Generator Battery

Analysis of the Relevance of Evaluation Criteria for Multicomponent Image Segmentation

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Journal of Software Engineering and Applications 2011年第6期4卷 371-378页

作者： Sié Ouattara georges Laussane loum Alain Clément Bertrant Vigouroux 不详

Image segmentation is an important stage in many applications such as image, video and computer processing. Generally image interpretation depends on it. The materials and methods used to demonstrate are described. The results are presented and analyzed. Several approaches and algorithms for image segmentation have been developed, but it is difficult to evaluate the efficiency and to make an objective comparison of different segmentation methods. This general problem has been addressed for the evaluation of a segmentation result and the results are available in the literature. In this work, we first presented some criteria of evaluation of segmentation commonly used in image processing with reviews of their models. Then multicomponent synthetic images of known composition are applied to these criteria to explore the operation and evaluate its relevance. The results show that choosing an assessment method depends on the purpose, however the criterion of Zeboudj appears powerful for the evaluation of region segmentations for properly separated classes, on the contrary the criteria of Levine-Nazif and Borsotti are adapted to the methods of classification and permit to build homogeneous regions or classes. The values of the Rosenbeger criterion are generally low and similar, so hard to make a comparison of segmentations with this criterion.

关键词： Quality of Segmentation Multicomponent Images Supervised and Unsupervised Evaluation Synthetic Images Metric

Sizing of a Filter (<i>L-C</i>) for a 180°Control Inverter Connected to a Medium Voltage Network

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Open Journal of Applied Sciences 2021年第5期11卷 565-576页

作者： Kouakou Fernand Koffi Gondo Yake Raymond Gbegbe georges loum Olivier Asseu Institut National Polytechnique Félix Houphouë t Boigny (INP-HB) Yamoussoukro C&#244 te d’Ivoire Université Félix Houphouë t Boigny (UFHB) Abidjan C&#244 te d’Ivoire Ecole Supérieure Africaine des Technologies d’Information et de la Communication (ESATIC) Abidjan C&#244 te d’Ivoire

This paper studies the design and sizing of a filter (L-C) for an inverter with 180° control in Medium voltage (MV), based on formulas of the capacitance of the capacitor C and the inductance L of the filter (L-C) of an SPWM inverter. These formulas were obtained by minimizing two parameters: the reactive power of the capacitor (capped at 5% of the apparent power of the load) and the ripple of the current flowing through inductance L (capped at 10% of the current supplying the load). The application of these formulas for the calculation of the filter (L-C) of the 180° control inverter in MV is not conclusive. Studies have been carried out to make them applicable. The results show that limiting the current ripple in the inductor to 10% of the load current is a valid assumption and that limiting the reactive power of the capacitor to 5% of the apparent power of the load presents shortcomings. The results also show that setting the inductance L of the filter to Lmaxi and the capacitor C from 35 × Cmaxi to 400 × Cmaxi gives voltage and current THDs that meet the 519 IEEE-2014 standards.

关键词： filter (L-C) THD inverter with 180° control and with SPWM control mathematical iterations MV. MATLAB-SIMULINK

A New Vectorial Order Approach Based on the Classification of Tuples Attribute and Relative Absolute Adaptive Referent: Applications to Multicomponent Images

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Journal of Software Engineering and Applications 2017年第6期10卷 546-563页

作者： Adles Francis Kouassi Sié Ouattara Jean-Claude Okaingni Adama Koné Wognin Joseph Vangah georges loum Alain Clement Laboratory of Signals and Electrical Systems (L2SE)) Institut National Polytechnique Houphouet Boigny Yamoussoukro Cote D’Ivoire Institut National Polytechnique Houphouet Boigny (INPHB) Yamoussoukro Cote D’Ivoire Ecole Supérieure des Technologies de l’Information et de la Communication (ESATIC) Abidjan Cote D’Ivoire Institut Universitaire de Technologie d’Angers (IUT) Angers France

In this paper, we are presenting a new vector order, a solution to the open problem of the generalization of mathematical morphology to multicomponent images and multidimensional data. This approach uses the paradigm of P–order. Its primary principle consists, first in partitioning the multi-component image in the attribute space by a classification method in different numbers of classes, and then the vector attributes are ordered within each class (intra-order-class). And finally the classes themselves are ordered in turn from their barycenter (inter-class order). Thus, two attribute vectors (or colors) whatever, belonging to the vector image can be compared. Provided with this relation of order, vectors attributes of a multivariate image define a complete lattice ingredient necessary for the definition of the various morphological operators. In fact, this method creates a strong close similarity between vectors in order to move towards an order of the same principle as defined in the set of real numbers. The more the number of classes increases, the more the colors of the same class are similar and therefore the absolute adaptive referent tends to be optimal. On the other hand, the more the class number decreases or equals two, the more our approach tends towards the hybrid order developed previously. The proposed order has been implemented on different morphological operators through different multicomponent images. The fundamental robustness of our approach and that relating to noise have been tested. The results on the gradient, Laplacian and Median filter operators show the performance of our new order.

关键词： Multicomponent Image P-Order Optima Adaptive Absolute Referent Intraclass and Interclass Order Morphological Operators Noise