An Introduction to Genetic Algorithms
An Introduction to Genetic Algorithms
Real-time underwater sorting of edible fish species
Computers and Electronics in Agriculture
Self-tuned Evolution-COnstructed features for general object recognition
Pattern Recognition
A feature construction method for general object recognition
Pattern Recognition
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Assessing the population, size, and taxonomy of fish is important in order to manage fish populations, regulate fisheries, and evaluate the impact of man made structures such as dams. Automating this process saves valuable resources of time, money, and manpower. Current methods for automatic fish monitoring rely on a human expert to design features necessary for classifying fish into a taxonomy. This paper describes a method using Evolution-COnstructed (ECO) features to automatically find features that can be used to classify fish into a taxonomy. ECO features provide features automatically and thus can quickly be adapted to new environments and fauna. The effectiveness of ECO features is shown on a dataset of four fish species where using five fold cross validation an average classification rate of 99.4% is achieved.