Opto-Mechanical Oriented Edge Filtering

Cognitive informatics is a very hot topic today, trying to provide solutions to problems in computation that are easily solved by the brain but are hard for a computer. The information processing properties of the brain are taken as the basis for such artificial systems. The first step of visual information processing, the extraction of orientation selective contours, is done in the primary visual cortex. A similar, orientation based filtering can be the first step in many vision systems of cognitive informatics. This paper presents a new approach to orientation selective contour detection. Oriented motion blur is used to filter for the desired orientations. The motion blur operation is performed before digitalization, using a vibrating mirror. The proposed technique not only provides a very high speed, high resolution contour detector, but also solves the problem of contour integration.

[1]  D. Hubel.  Eye, brain, and vision , 1988 .

[2]  Péter Baranyi,et al.  Visual Cortex Inspired Intelligent Contour Detection , 2006, J. Adv. Comput. Intell. Intell. Informatics.

[3]  R. V. Novikova,et al.  Interrelation of tuning characteristics to bar, cross and corner in striate neurons , 1999, Neuroscience.

[4]  D. P. Andrews,et al.  Orientation tuning of cells in areas 17 and 18 of the cat's visual cortex , 1978, Experimental Brain Research.

[5]  Jitendra Malik,et al.  Shape matching and object recognition using low distortion correspondences , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[6]  P. Heggelund,et al.  Orientation selectivity of single cells in striate cortex of cat: The shape of orientation tuning curves , 1978, Vision Research.

[7]  Shigeru Ando,et al.  Consistent Gradient Operators , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  R. V. Novikova,et al.  Selective and invariant sensitivity to crosses and corners in cat striate neurons , 1998, Neuroscience.

[9]  B. Resko,et al.  Visual cortex inspired intelligent contouring , 2005, 2005 IEEE International Conference on Intelligent Engineering Systems, 2005. INES '05..

[10]  I. Shevelev.  Second-order features extraction in the cat visual cortex: selective and invariant sensitivity of neurons to the shape and orientation of crosses and corners. , 1998, Bio Systems.

[11]  Jitendra Malik,et al.  Geometric blur for template matching , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[12]  Shigeru Ando,et al.  Image Field Categorization and Edge/Corner Detection from Gradient Covariance , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Péter Baranyi,et al.  Cognitive Vision Inspired Contour and Vertex Detection , 2006, J. Adv. Comput. Intell. Intell. Informatics.

[14]  D. W. Heeley,et al.  Recognition of stimulus orientation , 1990, Vision Research.

[15]  T. Wiesel,et al.  The influence of contextual stimuli on the orientation selectivity of cells in primary visual cortex of the cat , 1990, Vision Research.