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Deep Texture Feature Aggregation on Leaf Microscopy Images for Brazilian Plant Species Recognition

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Author(s):
Scabini, Leonardo ; Zielinski, Kallil M. ; Fares, Ricardo T. ; Konuk, Emir ; Miranda, Gisele ; Kolb, Rosana M. ; Ribas, Lucas C. ; Bruno, Odemir M.
Total Authors: 8
Document type: Journal article
Source: PROCEEDINGS OF THE 2024 9TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING TECHNOLOGIES, ICMLT 2024; v. N/A, p. 5-pg., 2024-01-01.
Abstract

In this work, we explore various computer vision techniques, with a focus on texture recognition approaches, for the task of plant species detection. We particularly emphasize the study of a challenging dataset consisting of 50 Brazilian plant species' leaf midrib cross-sections using microscope images. The research focuses on a recent method named Random Encoding of Aggregated Deep Activation Maps (RADAM) that leverages deep features from pre-trained Convolutional Neural Networks (CNNs) for improved plant species identification. This method demonstrates significant advancement over traditional texture analysis and deep learning approaches, showcasing the potential of combining deep feature engineering with texture analysis for accurate plant species recognition. (AU)

FAPESP's process: 23/04583-2 - Pattern recognition in images based on artificial neural networks and complex systems: from handcrafted descriptor extraction to automated learning
Grantee:Lucas Correia Ribas
Support Opportunities: Regular Research Grants
FAPESP's process: 23/10442-2 - Deep learning for pattern recognition on multi-sensor and multidimensional data
Grantee:Leonardo Felipe dos Santos Scabini
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 22/03668-1 - Analysis of the Dynamic Behavior of Complex Systems and Artificial Neural Networks in Computer Vision and Artificial Intelligence
Grantee:Kallil Miguel Caparroz Zielinski
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 24/00530-4 - Texture Feature Aggregation and Learning with Vision Transformers and its Applications on Biological and Medical Images
Grantee:Leonardo Felipe dos Santos Scabini
Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
FAPESP's process: 18/22214-6 - Towards a convergence of technologies: from sensing and biosensing to information visualization and machine learning for data analysis in clinical diagnosis
Grantee:Osvaldo Novais de Oliveira Junior
Support Opportunities: Research Projects - Thematic Grants