A multiagent system for edge detection: an application to growth ring detection on fish otoliths

In this paper we present an algorithm for fish otolith growth ring detection using a multiagent system. Up to now, the identification of growth rings, for age estimation, is routinely achieved by human readers, but this task is tedious and depends on the reader´s subjectivity. One of the major problems encountered during an automatic contour detection is the lack of ring continuity perception. Active contours are currently used to represent this continuity, but they point out some problems for contour detection in textured, noisy and low contrast images. We present an approach to improve this continuity perception based on a 2D reconstruction of rings using a multiagent system