FN Archimer Export Format
PT J
TI Automatic morphological detection of otolith nucleus
BT 
AF CAO, Frédéric
   FABLET, Ronan
AS 1:2;2:1;
FF 1:;2:PDG-DOP-DCB-STH-LASAA;
C1 IFREMER, LASAA, F-29280 Plouzane, France.
   IRISA, INRIA, F-35042 Rennes, France.
C2 IFREMER, FRANCE
   IRISA, FRANCE
SI BREST
SE PDG-DOP-DCB-STH-LASAA
IN WOS Ifremer jusqu'en 2018
   copubli-france
IF 0.952
TC 5
UR https://archimer.ifremer.fr/doc/2006/publication-1223.pdf
LA English
DT Article
DE ;Otolith imaging;A contrario detection;Mathematical morphology
AB This paper deals with the automation of the acquisition of age and growth data from the analysis of otolith images. One of the key component of such it system is the automatic detection of the growth center, which serves as the basis for further processing (2D ring segmentation, age and growth estimation,...). To this end, we develop a new and well-founded approach combining a morphological analysis of image level sets to the a contrario, detection principle. This approach leads to a robust parameterless scheme, whose efficiency is demonstrated by an evaluation carried out for a set of several hundred of plaice otoliths. (c) 2005 Elsevier B.V. All rights reserved.
PY 2006
PD APR
SO Pattern Recognition Letters
SN 0167-8655
PU Elsevier
VL 27
IS 6
UT 000236286700018
BP 658
EP 666
DI 10.1016/j.patrec.2005.10.004
ID 1223
ER

EF