Recently, by examining and simulating the migration behavior of monarch butterflies in nature, Wang et al. proposed a new swarm intelligence-based metaheuristic algorithm, called monarch butterfly optimization (MBO), for addressing various global optimization tasks. The effectiveness of MBO was verified ...
The hybrid method we present in this paper combines Gabor filters, K-means algorithm, LBP and pretrained deep learning models to provide a powerful feature extraction and processing capability for camouflage butterfly image segmentation and camouflaged butterfly object detection. The Gabor filters in ou...
Furthermore, updating the control parameters by logistic mapping is used to enhance the global optimization capability of the HFBOA. According to the no free lunch (NFL) theory [22], a new optimization algorithm should be used to deal with a certain type of problem. To verify the performance...