Insect Recognition Based on Complex Frequency Domain Transform and Multi-feature Fusion

Abstract

The accurate recognition of insects is of great significance for the protection and treatment of crops, vegetables and fruit trees. In order to improve the accuracy of insect images classification at the order level, the insect recognition algorithm based on complex frequency domain transform and multi-feature fusion is proposed in this paper. Firstly, the color features and Histogram of Oriented Gradient features of the insect images were extracted in the spatial domain. Secondly, the multi-scale and multi-directional complex frequency domain transform was performed on the images using the Multi-directional Dual Tree Complex Wavelet Transform. The shape features and texture features were obtained from the low frequency sub-band images. Finally, the spatial domain features and the complex frequency domain features were fused using the Relief-F algorithm, and the Support Vector Machine was used to recognition the insect images at the order level. The results of insect images recognition at nine orders level showed that the proposed method of multi-feature fusion in complex frequency domain and spatial domain can significantly improve the accuracy of insect recognition.