Robust Insect Classification Applied to Real Time Greenhouse Infestation Monitoring
نویسندگان
چکیده
Our purpose is to develop a classification system for the automatic detection of harmful insects in greenhouse plants. This paper deals with evaluation of three feature extraction techniques for classification of insects. Feature extraction methods used are Gabor Filters, Pyramidal Histogram of Gradients and color data. The aim of the classification machine apart from achieving high degree of accuracy is to reduce number of false negatives. Different feature extraction methods is evaluated based on total accuracy, number of false positives & false negatives, Precision Recall & ROC curves and computation time.
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