Navegando por Palavras-chave "Oscillatory correlation"

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    Selecting salient objects in real scenes: An oscillatory correlation model
    (Elsevier B.V., 2011-01-01) Quiles, Marcos G. [UNIFESP]; Wang, DeLiang; Zhao, Liang; Romero, Roseli A. F.; Huang, De-Shuang; Ohio State Univ; Universidade Federal de São Paulo (UNIFESP); Universidade de São Paulo (USP); Chinese Acad Sci
    Attention is a critical mechanism for visual scene analysis. By means of attention, it is possible to break down the analysis of a complex scene to the analysis of its parts through a selection process. Empirical studies demonstrate that attentional selection is conducted on visual objects as a whole. We present a neurocomputational model of object-based selection in the framework of oscillatory correlation. By segmenting an input scene and integrating the segments with their conspicuity obtained from a saliency map, the model selects salient objects rather than salient locations. the proposed system is composed of three modules: a saliency map providing saliency values of image locations, image segmentation for breaking the input scene into a set of objects, and object selection which allows one of the objects of the scene to be selected at a time. This object selection system has been applied to real gray-level and color images and the simulation results show the effectiveness of the system. (C) 2010 Elsevier B.V. All rights reserved.