Title
Peruvian scallop larvae counting system using image processing techniques
Date Issued
10 September 2008
Access level
metadata only access
Resource Type
conference paper
Author(s)
Abstract
An automatic monitoring system for the detection of larvae of Peruvian Scallop in microscopic images is presented. Image processing algorithms and a statistic procedure have been applied in order to detect and count larvae contained in a microscopic image as well as to measure individual larva area. ©2008 IEEE.
Language
English
OCDE Knowledge area
Ingeniería, Tecnología
Scopus EID
2-s2.0-51049098948
Resource of which it is part
Proceedings of the 7th International Caribbean Conference on Devices, Circuits and Systems, ICCDCS
ISBN of the container
9781424419579
Conference
7th International Caribbean Conference on Devices, Circuits and Systems, ICCDCS
Sources of information:
Directorio de Producción Científica
Scopus