File:Contour Integration Example 4.svg

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English: (A) A Kernel is generated that dictates the base strength of the connections between neurons in the network. Each kernel slice shown represents the interaction between two neurons given their preferred orientations. Red represents inhibition while green represent excitation. (B) If two neurons are parallel in preference but not collinear, then they inhibit each other. (C) Parallel bars excite if they are close to collinear in preference. The three kernels shown (the same as highlighted in (A)) show the interaction if elements are related to each other as shown by the bars. For instance, if two elements are totally co-linear they would use the first kernel. The next kernel would be used if one element is offset by 15 degrees. (D) This is a side view of the 0 degree offset kernel. The kernel has modest 2nd and 3rd order polynomial curvature, which can be observed on close inspection.
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Author Mundhenk

For more info, see Mundhenk, T.N., & Itti, L. (2005). Computational modeling and exploration of contour integration for visual saliency. Biological Cybernetics, 93 (3), 188-212.

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current01:36, 27 April 2009Thumbnail for version as of 01:36, 27 April 2009609 × 572 (658 KB)Mundhenk (talk | contribs){{Information |Description={{en|1=(A) A Kernel is generated that dictates the base strength of the connections between neurons in the network. Each kernel slice shown represents the interaction between two neurons given their preferred orientations. Red r

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