NDLI: REFLICS: real-time flow imaging and classification system

Content Provider	IEEE Xplore Digital Library
Author	Iwamoto, S. Trivedi, M.M. Checkley, D.M.
Copyright Year	2000
Description	Author affiliation: Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA (Iwamoto, S.)
Abstract	We present the real-time flow imaging and classification system (REFLICS), a real-time machine vision system for detecting and classifying pelagic fish eggs (e.g. sardine, anchovy) flowing through a shipboard pumping and filtering system. REFLICS images the dynamic flow with a progressive-scan area camera and a synchronized backlight strobe. Digitization and processing occur on a dual processor Pentium II PC and a pipeline image processing board. REFLICS first uses a segmentation algorithm to locate fish egg-like objects in the image and then a classifier to determine fish eggs, species and development stages (ages). We present the integrated system design of REFLICS and performance results. REFLICS can perform in 60 Hz real-time, classify fish eggs with low false negative rates on data collected from real cruises, and work in harsh conditions aboard ships at sea. REFLICS allows more accurate and timely survey of fish stock in a cost-effective manner.
Starting Page	689
Ending Page	692
File Size	570382
Page Count	4
File Format	PDF
ISBN	0769507506
ISSN	10514651
DOI	10.1109/ICPR.2000.903011
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-09-03
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Marine animals Machine vision Pumps Filtering Cameras Pipelines Image processing Image segmentation Marine vehicles
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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