Non-Additive Approach for Gradient-Based Edge Detection

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.

• Type: Conference
• Year: 2007
• Where: ICIP
• Authors: Florence Jacquey, Kevin Loquin, Frederic Comby, Olivier Strauss
• Keywords: Discard Spurious Detections, Discrete Intensity Distribution, ICIP 2007, Image Processing, first Derivative Estimation