Insect Classification Based on the Theory of the ELM
XU Yuanha · Electronic Science and Technology · 2015
Applied in the field of insect taxonomy,machine vision technology displaces the human eye observation identification process and improves working efficiency. The automatic identification technology has two main steps: insects feature extraction and classifier design. Based on the entire identification process,this paper puts forward an insect identification method based on hybrid features of ELM theory. In the feature extraction stage,the hybrid features will be extracted including the color,morphological characteristics,spatial texture,and spectral texture; while in the classifier design stage,high learning speed and good generalization performance ELM extreme learning machine are taken. The experimental results show that this method offers an insect identification accuracy up to 97% with a short classifier training time,superior to the traditional automatic identification method.