Anne Guillaud, Abdesslam Benzinou, Hervé Troadec, Vincent Rodin and
Jean Le Bihan.
Parametrization of a multi-agent system for roof edge detection.
An application to growth ring detection on fish otoliths.
Visual Data Exploration and Analysis VII. SPIE's Electronic Imaging 2000,
Science and Technology, volume 3961, pages 196-207, San Jose, CA (USA),
22-28 January 2000.
Abstract:
In this paper we present a method of segmentation using a multiagent system,
and an application to fish otolith growth ring detection. The otoliths images
are composed of alternative concentric dark and light rings, the number of
which increases with the age of the fish. 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.
The system proposed here is composed of several agents whose individual task
is to detect local extremes on a grayscale image. For this aim the agents are
provided with sensors on the gray levels of the image. By computing the mean
gray level of two sensors placed in front of it, the agent, if it searches for
light rings (respectively dark) will decide to turn in the direction of the
lighter (respectively darker) sensor. The path of the agents has been tested
as a roof edge detector, using the Canny criteria: good detection, good
localization, and low multiple response, in order to choose the best
parameters ruling the agents behavior, according to the image structures.
Tests have been first achieved on synthetic images, and then on otoliths
images.
Keywords:
Reactive agent, Edge detection, Otolith.
[doi:10.1117/12.379393]
[Guillaud00a.pdf]