Article
Complexity reduced coding of binary pattern units in image classification
Fecha
2012Autor
Solis-Perales, G.
Institución
Resumen
The criteria for complete synchronization of strictly different chaotic systems using feedback control are presented in this paper. Complete synchronization is achieved when all the states in the slave system are synchronous with the corresponding state in the master system. We illustrate that using a single input and single output control scheme, the synchronization of a class of strictly different systems is obtained in partial form. To overcome this problem we show that a multiple input and multiple output control scheme with an equal number of inputs and outputs than the order system is required in order to obtain the complete synchronization. This procedure is used to synchronize the Rossler and the Chen systems as an example. We also demonstrate that if the synchronization scheme considers less inputs and outputs, the partial-state synchronization is obtained. " 2012 Gualberto Solís-Perales.",,,,,,"10.1155/2012/964179",,,"http://hdl.handle.net/20.500.12104/40251","http://www.scopus.com/inward/record.url?eid=2-s2.0-84870231275&partnerID=40&md5=30cb9ffc7767d1443d1753a1fad14e0d",,,,,,,,"Journal of Applied Mathematics",,,,"2012",,"Scopus WOS",,,,,,,,,,,,"Complete synchronization of strictly different chaotic systems",,"Article"
"42037","123456789/35008",,"Kurmyshev, E.V., Departamento de Metrología óptica, Centro de Investigaciones en óptica A.C., Loma del Bosque No. 115, Col. Lomas del Campestre, C.P. 37150 Leon, Guanajuato, Mexico; Guillen-Bonilla, J.T., Departamento de Ciencias Computacionales e Ingenierías, Centro Universitario de Los Valles, Universidad de Guadalajara, Ameca, Jalisco, Mexico, Photonics Research Group, Department of Electrical and Electronic Engineering, University of Johannesburg, Auckland Park 2006, South Africa",,"Kurmyshev, E.V. Guillen-Bonilla, J.T.",,"2011",,"The ability to simulate and control complex physical situations in real time is an important element of many engineering and robotics applications, including pattern recognition and image classification. One of the ways to meet specific requirements of a process is a reduction of computational complexity of algorithms. In this work we propose a new coding of binary pattern units (BPU) that reduces the time and spatial complexity of algorithms of image classification significantly. We apply this coding to a particular but important case of the coordinated clusters representation (CCR) of images. This algorithm reduces the dimension of the CCR feature space and, as a consequence, the time and space complexity of the CCR based methods of image classification, exponentially. In addition, the new coding preserves all the fundamental properties of the CCR that are successfully used in the recognition, classification and segmentation of texture images. The same approach to the coding of BPUs can be used in the Local Binary Pattern (LBP) method. In order to evaluate the reduction of time and space complexity, we did an experiment on multiclass classification of images using the traditional and the new coding of the CCR. This test showed very effective reduction of the computing time and required computer memory with the use of the new coding of BPUs of the CCR, retaining 100% or a little less efficiency of classification at the time. " 2010 Elsevier Ltd. All rights reserved.