Document Type
Article
Publication Date
November 2024
Patent Number
12147504
Abstract
Images of an insect are subjected to at least a first convolutional neural network to develop feature maps based on anatomical pixels at corresponding image locations in the respective feature maps. The anatomical pixels correspond to a body part of the insect. A computer calculates an outer product of the first feature map and the second feature map to form an integrated feature map. Extracting fully connected layers from respective sets of integrated feature maps and applying the fully connected layers to a classification network for identifying the genus and the species of the insect.
Application Number
17/462809
Recommended Citation
Chellappan, Sriram; Minakshi, Mona; Bharti, Pratool; and Carney, Ryan M, "Systems and methods for classifying mosquitoes based on extracted masks of anatomical components from images" (2024). USF Patents. 1460.
https://digitalcommons.usf.edu/usf_patents/1460
Assignees
University of South Florida
Filing Date
08/31/2021
