Vol. 32 No. 1 (2025)

View Vol. 32 No. 1 (2025)

Editor-in-Chief: Prof. Dr. Márcio Dorn - Federal University of Rio Grande do Sul - Brazil
Editorial support: Gustavo Zahorcsak Matias Silvano - Federal University of Rio Grande do Sul - Brazil

Editorial

With great satisfaction, we present the special edition of the Revista de Informática Teórica e Aplicada (RITA), dedicated to the 2024 Workshop on Computer Vision (WVC). This special volume celebrates the growing relevance of computer vision, evidenced by the significant increase in publications and the diversity of practical applications in sectors such as healthcare, agriculture, and security.

The WVC 2024 was held at the Rio Paranaíba Campus of the Federal University of Viçosa (UFV) in Rio Paranaíba, Minas Gerais, Brazil, from November 6th to 9th, 2024. The event gathered over 200 participants, including researchers, students, and industry professionals from all regions of Brazil and abroad. A total of 84 articles were submitted, and 38 articles were selected to compose this special edition. At least three reviewers carefully evaluated each submission, ensuring the high quality of the works presented here.

The WVC 2024 program featured various activities, including lectures by renowned experts such as Dr. Moacir Ponti (ICMC-USP), Dr. Luiz Marcos Gonçalves (UFRN), Dr. Roger Chen (University of Hawaii), and Dr. André Backes (UFSCar), discussion panels on emerging topics, and a Hackathon promoted by PixForce, challenging participants to develop innovative solutions to real-world problems. In addition, practical workshops offered unique learning opportunities for students and professionals attending the event.

We are deeply grateful to the organizing committee members, the scientific committee, the invited speakers, and all the authors who entrusted WVC 2024 with disseminating their research. Our appreciation also extends to the sponsors and funding agencies, including Fapemig, PixForce, and Funarbe, whose financial support was essential for the success of this event. We also thank the Brazilian Computer Society (SBC)'s support. Special thanks to RITA's Editor-in-Chief, Dr. Márcio Dorn, for enabling the publication of this special edition with the articles from WVC 2024.

We hope this special volume of RITA inspires new ideas and fosters collaborations, contributing to significant advancements in computer vision.

João Fernando Mari
WVC 2024 General Chair

Published: 2025-02-20

WVC2024

  • Transfer Learning and Handcrafted Features Ensembles for Ultrasound Breast Cancer Image Classification

    Vanessa Kaplum Foleis, Bianca Aparecida Andrade, Henrique Bergamo Shigihara, Dimas Augusto Mendes Lemes, José Guilherme Picolo, Bernardo Feijó Junqueira, Guilherme Ribeiro Sales, Valentino Corso, Cides S. Bezerra
    11-17
    DOI: https://doi.org/10.22456/2175-2745.143357

  • Classification of Agricultural Pests Through Digital Images Using Deep Learning

    Pedro Lucas de Oliveira Costa, Thiago Matheus de Oliveira Costa, Larissa Ferreira Rodrigues Moreira, Leandro Henrique Furtado Pinto Silva , João Fernando Mari
    18-25
    DOI: https://doi.org/10.22456/2175-2745.143520

  • Application of Denoising Diffusion Probabilistic Methods in Fetal MRI

    Ana Claudia Souza Vidal de Negreiros, Gilson Giraldi, Heron Werner
    26-32
    DOI: https://doi.org/10.22456/2175-2745.143785

  • Preprocessing and Optimizer impact on Image-Based Autoimmune Disease Diagnosis

    João Vítor Souto de Lima, Rafael Marinho e Silva, Rodrigo Moreira, Larissa Rodrigues Moreira
    33-39
    DOI: https://doi.org/10.22456/2175-2745.143545

  • Composite Material Defect Segmentation Using Deep Learning Models and Infrared Thermography

    Iago Garcia Vargas, Henrique Fernandes
    40-46
    DOI: https://doi.org/10.22456/2175-2745.143066

  • Automatic Detection and Counting of Tuta Absoluta Insect in Trap Images

    Gabriel Souza, Camila Vargas, Jean Hamerski
    47-53
    DOI: https://doi.org/10.22456/2175-2745.143522

  • Data Augmentation and Convolutional Network Architecture Influence on Distributed Learning

    Victor Forattini Jansen, Emanuel Teixeira Martins, Yasmin Souza Lima, Flavio de Oliveira Silva, Rodrigo Moreira, Larissa Ferreira Rodrigues Moreira
    54-60
    DOI: https://doi.org/10.22456/2175-2745.143508

  • Renal Cancer Classification in Tomographic Images Using Convolutional Neural Networks to Assist Early Diagnosis

    Vinícius Meireles Pereira Santos, Ana Claudia Patrocinio, William Chaves de Souza Carvalho, Pedro Moises de Sousa
    61-66
    DOI: https://doi.org/10.22456/2175-2745.143539

  • Automatic Identification of Relevant Moments in Security Force Videos Using Multimodal Analysis

    Luísa Ferreira, Michel Silva
    67-74
    DOI: https://doi.org/10.22456/2175-2745.143487

  • Portal to Other Dimensions: use of Computer Vision to create art work from day life images

    Luísa Ferreira, Ana Osias, Lucas Vieira, Michel Silva
    75-82
    DOI: https://doi.org/10.22456/2175-2745.143513

  • Deep Learning-Based Segmentation of Nanomaterial Images Acquired via Scanning Electron Microscopy

    Ivânia Maria Lucinda De Donato, Juliana do Nascimento Lunz, Fernanda Davi Marques, Bráulio Soares Archanjo, Francisco José Pereira Lopes, Gilson Antônio Giraldi
    83-90
    DOI: https://doi.org/10.22456/2175-2745.143516

  • Artificial Intelligence for Gas Leak Detection with Thermal Cameras and Metal Oxide Semiconductor Sensors

    Edmilson Sanches, Fábio Augusto, Pauline Silveira, Bernardo Feijó Junqueira, Dimas A. M. Lemes, José Picolo, Guilherme Ribeiro Sales, Valentino Corso, Cides S. Bezerra
    91-98
    DOI: https://doi.org/10.22456/2175-2745.143526

  • Segmentation of Skin Lesions and their Attributes in Dermatoscopic Images Based on Convolutional Neural Networks

    Antonio Vinicius de Moura Rodrigues, Roberta Barbosa Oliveira
    99-106
    DOI: https://doi.org/10.22456/2175-2745.143546

  • Sheep Behavioral Analysis with Optical Flow

    Pedro Henrique Neves da Silva, Rodrigo Gonçalves Mateus, Diego André Sant'Ana, Sebastião Lucas Neves de Melo, Hemerson Pistori
    107-113
    DOI: https://doi.org/10.22456/2175-2745.143534

  • Bulldogs Nose Detection using Deep Learning

    Joyce Katiuccia Medeiros Ramos Carvalho, Pedro Henrique Neves da Silva, Sandra Adriana Uhry, Gustavo da Silva Andrade, Gisele Braziliano de Andrade, Hemerson Pistori, Newton Loebens
    114-120
    DOI: https://doi.org/10.22456/2175-2745.143541

  • Fusion of Satellite and Drone Images for Identifying Water Bodies

    Ariane Paula Barros, Elizângela Jussara dos Santos, Fernanda Kristen da Silva Pedro, Dimas Augusto Mendes Lemes, José Picolo, Guilherme Ribeiro Sales, Valentino Corso, Cides Semprebom Bezerra
    121-127
    DOI: https://doi.org/10.22456/2175-2745.143523

  • Classification of Cells Infected by Malaria with Vision Transformers Models

    Eduardo David Campopiano, Iago Fonseca Marinho Pereira, Thomas William, Douglas Henrique Siqueira Abreu, Guilherme Ribeiro Sales, Valentino Corso, Cides S. Bezerra
    128-135
    DOI: https://doi.org/10.22456/2175-2745.143548

  • Deep Learning-Based Instance Segmentation for Enhanced Navigation of Agricultural Vehicles

    Renato de Avila Lopes, Marcus Vinicius Leal de Carvalho, Edson Kitani, Francisco de Assis Zampirolli, Leopoldo Yoshioka, Luiz Antonio Celiberto Junior, Ugo Ibusuki
    136-142
    DOI: https://doi.org/10.22456/2175-2745.143329

  • Safer Stack: Safe Dump of Off-Highways Trucks in Slope Crest Windrows

    Lorrainy Rembiski Delfino, Marina Cunha Galvão de França, Jaquelini Kumm, Marcus Ventura, Gabriel Flausino de Souza, Allan Lorenzoni Canal, Yargo Alves Sampaio, Fabiana Zambroni Neves
    143-150
    DOI: https://doi.org/10.22456/2175-2745.143633

  • A Novel Brazilian Dataset for Automatic Detection of Psyllid Attacksin Guava

    Iago Magalhães de Mesquita, Larissa Ferreira Rodrigues Moreira, Rhuan da Silva Nunes, Iális Cavalcante de Paula Júnior
    151-157
    DOI: https://doi.org/10.22456/2175-2745.143544

  • YOLO and CNN for Cat Detection and Recognition

    Dayllon Vinícius Xavier Lemos, Humberto Longo, Márcia R. Cappelle, Mariana Santos, Sanderson Macedo, Ronaldo Costa
    158-165
    DOI: https://doi.org/10.22456/2175-2745.143684

  • Case Study of Deep Learning Methods for Depth Estimation in Indoor Ground Robotics

    Fábio Leandro Vizzotto, Marcos D'Addio de Moura, Vinicius Carbonezi de Souza, Cides Semprebom Bezerra, Guilherme Ribeiro Sales, Valentino Corso, Luiz Eduardo Pita Mercês Almeida, Douglas Henrique Siqueira Abreu
    166-172
    DOI: https://doi.org/10.22456/2175-2745.143443

  • Federated Learning in Breast Cancer Diagnosis

    Gleidson V. G. Barbosa, Leonardo Gabriel Ferreira Rodrigues, Larissa F. Rodrigues Moreira, André Ricardo Backes
    173-179
    DOI: https://doi.org/10.22456/2175-2745.143480

  • Medical Image Classification with Privacy: Centralized and Federated Learning Comparison

    Leonardo Gabriel Ferreira Rodrigues, Gleidson V. Gomes Barbosa, Rodrigo Moreira, Larissa Ferreira Rodrigues Moreira, André Ricardo Backes
    180-187
    DOI: https://doi.org/10.22456/2175-2745.143478

  • Construction of Rolled Digital for Newborns Using Image Registration

    Wesley Augusto Catuzzo de Bona, Jefferson Tales Oliva, Luiz Fernando Puttow Southier, Fabio Favarim, Marcelo Teixeira, Dalcimar Casanova
    188-195
    DOI: https://doi.org/10.22456/2175-2745.143514

  • Digital Fencing for Farms: Enhancing Object Detection through Multi-Dataset Integration

    Juliana Quintiliano de Oliveira Ferreira, Lucas Silva, Thiago L. Gomes, Michel Melo Silva
    196-203
    DOI: https://doi.org/10.22456/2175-2745.143486

  • Identifying Malignant Skin Diseases Through Deep Learning

    Gabriel Sávio de Lima Mota, Matheus Vieira da Silva, João Fernando Mari, André Ricardo Backes
    204-211
    DOI: https://doi.org/10.22456/2175-2745.143463

  • Rust Detection in Coffee Leaves Using Otsu's Method and Mathematical Morphology

    Rene Ernesto García Rivas, Renata dos Santos Melo, Saide Manuel Saide, André Ricardo Backes, Henrique Coelho Fernandes
    212-219
    DOI: https://doi.org/10.22456/2175-2745.143458

  • Castor Beans Identification in Sugarcane Plantations Using Active Learning

    Juan Carlos Conceiç˜ao de Lima Sales, Mário de Araújo Carvalho, José Marcato Junior, Wesley Nunes Goncalves
    220-226
    DOI: https://doi.org/10.22456/2175-2745.143495

  • A New Approach for Soil Carbon and Nitrogen Assessment through Image Analysis: A Case Study with Oxisols and Inceptisols

    Juliano Tiago Rinaldi, Dalcimar Casanova, Larissa Macedo dos Santos Tonial, Marcelo Teixeira, Heitor Silvério Lopes
    227-235
    DOI: https://doi.org/10.22456/2175-2745.143392

  • A Mini-map Alignment Approach using Landmark Observation Information Intrinsic to the Feature-based Visual SLAM Pipeline

    Felipe Pires Saraiva, Gustavo Teodoro Laureano, Thiago Henrique de Oliveira
    236-242
    DOI: https://doi.org/10.22456/2175-2745.143437

  • Deep Semantic Segmentation Applied to Honey Bee Comb Cells

    Gustavo Vasconcelos, André Roberto Ortoncelli, Fabiana Martins Costa, Marlon Marcon
    243-249
    DOI: https://doi.org/10.22456/2175-2745.143318

  • Leveraging Optimal Methods for Diverse Skin Types Classification in Images for Reduced Bias

    Luiz Augusto Vieira Manoel, Moacir Antonelli Ponti
    250-256
    DOI: https://doi.org/10.22456/2175-2745.143537

  • Exploiting Data Augmentation Strategies to Improve the Classification of Spinal Disorders in X-Ray Images

    João Flávio Martins Pereira, João Fernando Mari, Leandro Henrique Furtado Pinto Silva
    257-264
    DOI: https://doi.org/10.22456/2175-2745.143521

  • Evaluating Deep Learning Models for Effective Weed Classification in Agricultural Images

    Bianca Panacho Ferreira, Pedro Henrique Campos Moreira, Leandro Henrique Furtado Pinto Silva, João Fernando Mari
    265-272
    DOI: https://doi.org/10.22456/2175-2745.143490

  • How Misleading Can The Analysis of Human Eye Movements Be? Experiments on Dominante Eye and Cognitive Visual Perception

    Alisson Moriyasu Pinto, João Romera, Carlos Thomaz
    273-279
    DOI: https://doi.org/10.22456/2175-2745.143530

  • Analyzing Bee Behavior Through Video Tracking Using Computer Vision Techniques

    Ian Carlos Rocha Lima, André Roberto Ortoncelli, Michele Potrich, Marlon Marcon
    280-286
    DOI: https://doi.org/10.22456/2175-2745.143502

  • Aedes aegypti Egg Counting with Neural Networks for Object Detection

    Micheli Nayara de Oliveira Vicente, João Vitor de Andrade Porto, Gabriel Toshio Hirokawa Higa, Higor Henrique Picoli Nucci, Asser Botelho Santana, Karla Rejane de Andrade Porto, Antonia Railda Roel, Hemerson Pistori
    287-293
    DOI: https://doi.org/10.22456/2175-2745.143494