Contour detection based on nonclassical receptive field inhibition

By Cosmin Grigorescu, N. Petkov, Michel A. Westenberg. IEEE Transactions on Image Processing, 2003

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection (2019, methodology): “CID: This dataset has been presented in [12], a brainbiologically inspired edge detector technique.”
Real-time Texture Boundary Detection from Ridges in the Standard Deviation Space (2009, methodology): “The simplest approach is anisotropic surround suppression [3].”
Edge and line oriented contour detection: State of the art (2011, methodology): “Other global metrics are the F-measure introduced in [2] and the ρ-coefficient introduced in [22], which unlike the Pratt's FoM are symmetric with respect to DC and GT, the Haursdoff distance [283], the Odet discrepancy [284], and the Chernoff Entropy [124].”