Browsing Cognitive & Neural Systems by Author "Fischl, Bruce"

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Browsing Cognitive & Neural Systems by Author "Fischl, Bruce"

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  • Fischl, Bruce; Schwartz, Eric (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-11)
    The goal of many early visual filtering processes is to remove noise while at the same time sharpening contrast. An historical succession of approaches to this problem, starting with the use of simple derivative and smoothing ...
  • Fischl, Bruce; Schwartz, Eric L. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, )
    Nonlinear anisotropic diffusion algorithms provide a significant improvement in image enhancement for segmentation, when compared to more traditional linear isotropic filters. However, the excessive computational cost of ...
  • Hinds, Oliver P.; Polimeni, Jonathan R.; Rajendran, Niranjini; Balasubramanian, Mukund; Wald, Lawrence L.; Rosas, H. Diana; Frosch, Matthew P.; Augustinack, Jean C.; Wiggins, Graham; Potthast, Andreas; Fischl, Bruce; Schwartz, Eric L. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2007-01-16)
    Previous studies have reported considerable intersubject variability in the three-dimensional geometry of the human primary visual cortex (V1). Here we demonstrate that much of this variability is due to extrinsic geometric ...
  • Fischl, Bruce; Schwartz, Eric L. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-12-22)
    Multi-scale image enhancement and representation is an important part of biological and machine early vision systems. The process of constructing this representation must be both rapid and insensitive to noise, while ...
  • Fischl, Bruce; Schwartz, Eric L.; Cohen, Michael A. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-08)
    Many computer and robot vision applications require multi-scale image analysis. Classically, this has been accomplished through the use of a linear scale-space, which is constructed by convolution of visual input with ...

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