Related references
Note: Only part of the references are listed.Deployment of an imaging system to investigate fine-scale spatial distribution of early life stages of the ctenophore Mnemiopsis leidyi in Chesapeake Bay
Hongsheng Bi et al.
JOURNAL OF PLANKTON RESEARCH (2013)
Variational image decomposition for automatic background and noise removal of fringe patterns
Xinjun Zhu et al.
OPTICS LETTERS (2013)
Methods of training set construction: Towards improving performance for automated mesozooplankton image classification systems
Chun-Yi Chang et al.
CONTINENTAL SHELF RESEARCH (2012)
Edge preserved image enhancement using adaptive fusion of images denoised by wavelet and curvelet transform
G. G. Bhutada et al.
DIGITAL SIGNAL PROCESSING (2011)
Parameterized Logarithmic Framework for Image Enhancement
Karen Panetta et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2011)
Bayesian model for semi-automated zooplankton classification with predictive confidence and rapid category aggregation
Lin Ye et al.
MARINE ECOLOGY PROGRESS SERIES (2011)
Efficient HOG human detection
Yanwei Pang et al.
SIGNAL PROCESSING (2011)
Digital zooplankton image analysis using the ZooScan integrated system
Gaby Gorsky et al.
JOURNAL OF PLANKTON RESEARCH (2010)
The Underwater Vision Profiler 5: An advanced instrument for high spatial resolution studies of particle size spectra and zooplankton
Marc Picheral et al.
LIMNOLOGY AND OCEANOGRAPHY-METHODS (2010)
Time to automate identification
Norman MacLeod et al.
NATURE (2010)
In situ ichthyoplankton imaging system (ISIIS):: system design and preliminary results
Robert K. Cowen et al.
LIMNOLOGY AND OCEANOGRAPHY-METHODS (2008)
RAPID Research on Automated Plankton Identification
Mark C. Benfield et al.
OCEANOGRAPHY (2007)
Use of the FlowCAM for semi-automated recognition and, enumeration of red tide cells (Karenia brevis) in natural plankton samples
Edward J. Buskey et al.
HARMFUL ALGAE (2006)
Accurate automatic quantification of taxa-specific plankton abundance using dual classification with correction
Q Hu et al.
MARINE ECOLOGY PROGRESS SERIES (2006)
Automatic image analysis of plankton: future perspectives
Phil F. Culverhouse et al.
MARINE ECOLOGY PROGRESS SERIES (2006)
Comparison of multifrequency acoustic and in situ measurements of zooplankton abundances in Knight Inlet, British Columbia
MV Trevorrow et al.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2005)
Automatic plankton image recognition with co-occurrence matrices and Support Vector Machine
Q Hu et al.
MARINE ECOLOGY PROGRESS SERIES (2005)
Recognizing plankton images from the shadow image particle profiling evaluation recorder
T Luo et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2004)
Enumeration, measurement, and identification of net zooplankton samples using the ZOOSCAN digital imaging system
P Grosjean et al.
ICES JOURNAL OF MARINE SCIENCE (2004)
Do experts make mistakes? A comparison of human and machine identification of dinoflagellates
PF Culverhouse et al.
MARINE ECOLOGY PROGRESS SERIES (2003)
From the Hensen net toward four-dimensional biological oceanography
PH Wiebe et al.
PROGRESS IN OCEANOGRAPHY (2003)
Large particulate matter in the Western Mediterranean I. LPM distribution related to mesoscale hydrodynamics
G Gorsky et al.
JOURNAL OF MARINE SYSTEMS (2002)
A system for high-resolution zooplankton imaging
S Samson et al.
IEEE JOURNAL OF OCEANIC ENGINEERING (2001)
Adaptive document image binarization
J Sauvola et al.
PATTERN RECOGNITION (2000)