REFLICS: Real-Time Flow Imaging and Classification System

Abstract. An accurate analysis of a large dynamic system like our oceans requires spatially fine and temporally matched data collection methods. Current methods to estimate fish stock size from pelagic (marine) fish egg abundance by using ships to take point samples of fish eggs have large margins of error due to spatial and temporal undersampling. The real-time flow imaging and classification system (REFLICS) enhances fish egg sampling by obtaining continuous, accurate information on fish egg abundance as the ship cruises along in the area of interest. REFLICS images the dynamic flow with a progressive-scan area camera (60 frames/s) and a synchronized strobe in backlighting configuration. Digitization and processing occur on a dual-processor Pentium II PC and a pipeline-based image-processing board. REFLICS uses a segmentation algorithm to locate fish-egglike objects in the image and then a classifier to determine fish egg, species, and development stage (age). We present an integrate...

• Type: Conference
• Year: 2000
• Where: ICPR
• Authors: Sadahiro Iwamoto, Mohan M. Trivedi, David M. Checkley Jr.
• Keywords: Computer Vision, Enhances Fish Egg, Fish Egg, Fish Egg Abundance, ICPR 2000