Comparative of Effectiveness When Classifying Colors Using RGB Image Representation with PSO with Time Decreasing Inertial Coefficient and GA Algorithms as Classifiers-Reference-Cited by-同舟云学术

Comparative of Effectiveness When Classifying Colors Using RGB Image Representation with PSO with Time Decreasing Inertial Coefficient and GA Algorithms as Classifiers

Published:2018 Issue: Volume: Page:527-546
ISSN:1860-949X
Container-title:Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications
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Author:

Montes Martín,Padilla Alejandro,Canul Juana,Ponce Julio,Ochoa Alberto

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-71008-2_38

Reference28 articles.

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3. N.A. Ibraheem, M.M. Hasan, R.Z. Khan, P.K. Mishra, Understanding color models: a review. ARPN J. Sci. Technol. 2(3), 265–275

4. M. Montes Rivera, A. Padilla Díaz, J. Canul Reich, J.C. Ponce Gallegos, A. Ochoa Zezzatti, Comparative between RGB and HSV color representations for color segmentation when it is applied with artificial neural networks and evolutionary algorithms. Avances en las tecnologías de la información ANIEI 2016

5. M.C. Murillo, F. García Lamont, A.D. Cuevas Rasgado, Segmentación de imágenes de color imitando la percepción humana del color. Res. Comput. Sci. 114, 71–81 (2016)

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