Listar Ciencia de la Computación por autor "Romero Calla, Luciano Arnaldo"

Mostrando ítems 1-4 de 4

    • A novel approach for image feature extraction using HSV model color and niters wavelets 

      López Del Alamo, Cristian; Fuentes Pérez, Lizeth Joseline; Romero Calla, Luciano Arnaldo; Ramos Lovón, Wilber Roberto (2013 XXXIX Latin American Computing Conference (CLEI), 2013-11-21)
      Due to the advancement of computing and the power of the new hardware, more economical, it is now feasible to have thousands of images which can be analyzed to allow classification for its shape and/or color. Furthermore, ...

    • Agrupamiento por similitud de imagenes mediante Árbol de Expación Mínimo y Soft Heap 

      López Del Alamo, Cristian; Fuentes Pérez, Lizeth Joseline; Romero Calla, Luciano Arnaldo (Pontificia Universidad Católica de Valparaíso, 2013-11-11)
      En la presente investigación se propone un enfoque novedoso para extraer características distintivas de imagenes basado en el modelo de color HSV y filtros wavelets, con la finalidad de hacer un agrupamiento de imágenes ...

    • Efficient approach for interest points detection in non-rigid shapes 

      López Del Alamo, Cristian; Romero Calla, Luciano Arnaldo; Fuentes Pérez, Lizeth Joseline (Computing Conference (CLEI), 2015 Latin American, 2015-12-17)
      Due to the increasing amount of data and the reduction of costs in 3D data acquisition devices, there has been a growing interest, in developing efficient and robust feature extraction algorithms for 3D shapes, invariants ...

    • Parallelization of the Algorithm K-means Applied in Image Segmentation 

      López Del Alamo, Cristian; Romero Calla, Luciano Arnaldo; Fuentes Pérez, Lizeth Joseline (International Journal of Computer Applications, 2014-01-01)
      Algorithm k-means is useful for grouping operations; however, when is applied to large amounts of data, its computational cost is high. This research propose an optimization of k-means algorithm by using parallelization ...