Non-Additive Approach for Gradient-Based Edge Detection

Florence Jacquey (1) , Kevin Loquin (1) , Frédéric Comby (2) , Olivier Strauss (2)

1 LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 ICAR - Image & Interaction

In this paper, we propose a new method to perform the first derivative estimation of a discrete intensity distribution. This approach is based on a non-additive aggregation process and provides an estimate of the gradient as intervals instead of single values. These intervals are used to threshold a gradient based edge detection and therefore discard spurious detections due to noise.

Mots clés: Edge detection; Choquet integral; capacity; summative and non-summative kernels; possibility; fuzzy numbers

Domaines: Traitement des images [eess.IV]; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Florence Jacquey, Kevin Loquin, Frédéric Comby, Olivier Strauss. Non-Additive Approach for Gradient-Based Edge Detection. ICIP: International Conference on Image Processing, Nov 2009, Cairo, Egypt. pp.49-52. ⟨hal-00368399⟩