Fabrizzio Alphonsus Alves de Melo Nunes Soares

Universidade Federal de Goiás | UFG · Instituto de Informática (INF)

Due to the expansion of multimedia data leveraged by social networks and smartphone devices, large sets of information are available and increasing daily. In this context, information retrieval is crucial to open new opportunities to individuals, governments, and businesses. Therefore, we present the CBIR-ANR software in which the content-based ima...

Computational solutions to assist the automatic analysis of radiographic images are already a reality. Commercial solutions for the diagnosis of tuberculosis have shown exceptional results similar to those of radiologists. However, these solutions are still far from regions of greater vulnerability, given their high costs. Researchers have shown a...

This work presents a statistical analysis between indicators obtained from internet data in Portuguese-news sentiment and Google Trends-and data on the Brazilian stock market through Spearman's rank correlation coefficient. The methodology used to collect, pre-process and obtain each indicator is detailed. Data from the years 2019 to 2021 were obta...

Tuberculosis is a serious and contagious disease that kills millions of people, being a global public health problem. Meanwhile, Artificial Intelligence in radiology has aroused increasing interest from researchers and the industry. Solutions to assist in diagnosis are already a reality, but distant from vulnerable populations and underdeveloped re...

Tuberculose é uma doença pulmonar contagiosa que causa anualmente a morte de cerca de 1,5 milhões de pessoas. O combate à essa doença se dá pelo rastreamento, detecção e isolamento dos infectados. A radiografia de tórax é uma alternativa eficaz dada sua alta disponibilidade, baixo custo e resposta rápida. Assim, neste trabalho propomos um método co...

Tuberculose (TB) é uma doença pulmonar crônica, infecciosa e transmissível causada pela bactéria Mycobacterium tuberculosis ou bacilo de Koch. Essa doença está entre as principais causas de morte no mundo, sendo a segunda principal causa de morte infecciosa depois do SARS-CoV-2 (COVID-19). Embora descoberta no século XIX, ainda no século XXI cerca...

Disparity maps are vital components of stereo vision systems as they encode the displacement of two or more images. However, previous works provide only a few implementation details, suggest processing steps that are not very well defined, and the software design is rarely discussed. Conversely, DCF applies the main components of a stereo vision sy...

Nas radiografias de tórax (RXT), a identificação automática de regiões, estruturas ou objetos que a compõem pode auxiliar o profissional da área a realizar sua leitura e análise de forma mais assertiva, promovendo a melhoria e eficiência do diagnóstico. Este trabalho propõe um método para segmentar os campos pulmonares em RXT. Com base em operações...

Estimating foliar damage is essential in agricultural processes to provide proper crop management, such as monitoring the defoliation level to take preventive actions. Furthermore, it is helpful to avoid the reduction of plant energy production, nutrition decrement, and consequently, the reduction of the final production of the crop and economic lo...

Este trabalho apresenta uma análise estatística entre indicadores obtidos de dados de internet em língua portuguesa - sentimento de notícias e Google Trends - e dados sobre o mercado brasileiro de bolsa de valores através do coeficiente de correlação de postos de Spearman. A metodologia utilizada para coleta, pré-processamento e obtenção de cada in...

Para um paciente acometido por câncer, o diagnóstico precoce é sua maior chance de cura e sobrevida. Um bom prognóstico parte da detecção da doença nos estágios iniciais. Carcinoma Espinocecular Oral está entre as principais causas de morte por câncer em todo o mundo, e é geralmente associado a um mal prognóstico. Entretanto, biomarcadores salivare...

Identifying COVID-19 on chest radiographic images (CXR) remains an essential task in patient tracking and follow-up. Several initiatives have worked on this task, and although the results presented so far are encouraging, few are reflected in applications adopted in clinical environments. Thus, understanding that there is still a field of research...

The Brazilian Sign Language (Libras) enables deaf people to understand and interact with others in order to facilitate their access to culture, knowledge and social integration. However, there are only few solutions to reduce the communication barrier between deaf and hearing people. In this work, we propose a solution based on deep neural networks...

Since vaccination started, the COVID-19 scenario has improved. On the other hand, although the number of deaths has significantly dropped, the number of new cases is still a concern. Thus, patient tracking and follow-up are essential tasks, and chest X-ray examination is the first-order tool. While several studies using CXR and computing have been...

Tuberculosis is a severe and contagious lung disease that kills about 1.5 million people worldwide. One of the ways to combat this disease is by tracking, detecting, and isolating the infected. In this sense, chest radiography (CXR) is an effective alternative for this task, given its high availability, low charge, and quick response. Thus, conside...

Sugarcane is one of the main crops in the world due to its economic value promoted by the sale of its derivatives, such as bioethanol and sugar. In order to achieve greater economic performance and productivity in the sugarcane field, several digital image processing studies have been conducted on sugarcane field images. However, mapping and measur...

Traditional paper-based children’s spelling assessments were hampered due to Covid-19 because existing technologies did not provide strategic signals to teachers, such as the child’s handwriting direction and how they read what they write. Our project emerged as a novel method to assess children’s spelling by touchscreens in this context. Hence, th...

Detecting and correcting skew angles is critical to success in document layout analysis and optical character recognition tasks, as they are more susceptible to failure when on uneven skews. In automation such as postal systems, library management, office business, and banking data entry, skew angle estimation is crucial to improve procedures respo...

Sugarcane planting is an important and growing activity in Brazil. Thereupon, several techniques have been developed over the years to maximize crop productivity and profit, amongst them, processing of sugarcane field images. In this sense, this research aims to identify and analyze crop rows and measure their gaps from aerial images of sugarcane f...

Leveraged by the production of grains, oilseeds, and fresh deciduous fruits, food production has reached new heights, exceeding the amount produced in previous years and with an estimate of new records for the coming years. In this sense, technological advances are essential to reduce costs and increase quality and productivity. In this paper, we p...

The interaction challenges presented by touch-screen enabled devices for blind and visually impaired people has been addressed extensively in the literature. However, the emergence of wrist-worn devices with small screens, the so-called smartwatches, exacerbates such challenges. This paper presents an evaluation of text entry methods for smartwatch...

By adequately locating objects of interest, a computer vision-driven machine can avoid obstacles and collisions, set safe paths to move autonomously, and reconstruct the geometric properties of a scene. In this sense, three-dimensional information is required to perform these tasks properly. As digital images provide information about the scene, th...

This work proposes the development of a method to control household appliances using smartwatches with continuous gesture recognition and carries out a pilot study to validate the developed method. The devices are controlled by infrared signals. We developed a prototype for smartwatches that allows the user to control the devices by making simple g...

A type of spelling test is a regular activity in children's literacy classes. This traditional paper-based test has application details that need in-person administration. However, the pandemic period required several class adjustments to distance learning and did not exist a digital solution to aid professionals in this assessment. Therefore, our...

Management of agricultural production and rural activities has been supported by recognizing machine learning patterns and algorithms, as in the automation of leaf analysis. However, leaf border damage compromises leaf structures, making it difficult to estimate the lost contours. Effects caused by predatory insects are difficult to be monitored by...

Governments, civil society, health professionals, and scientists have been facing a relentless fight against the pandemic of the COVID-19 disease; however, there are already about 150 million people infected worldwide and more than 3 million lives claimed, and numbers keep rising. One of the ways to combat this disease is the effective screening of...

The conception, and usage, of methods designed to evaluate information visualizations is a challenge that goes along with the development of these visualizations. In the scientific literature there is a myriad of proposals for such methods. However, none of them was able to pacify the field or establish itself as a de facto standard, due to difficu...

Several devices are capable of capturing images with a large number of people, including those of high resolution known as gigapixel images. These images can be helpful for studies and investigations, such as finding people in a crowd. Although they can provide more details, the task of identifying someone in the crowd is quite challenging and comp...

Nowadays, we face a considerable improvement in education technologies , yet children's spelling assessment is still a paper-and-pencil based method. Since it is a regular activity in literacy classrooms and has to be conducted individually with each child, it is a laborious task for a teacher. It is challenging to offer an optimal number of tests...

Identifying the phase or stage of children's spelling development is a regular activity in literacy classes. Usually, teachers assume some developmental theory and perform paper-and-pencil based tests. Existing digital tools often do not consider any of these known theories, nor do they capture the child's handwriting. Therefore, some teachers pref...

Several reasons explain the significant role that chest X-rays play on supporting clinical analysis and early disease detection in pediatric patients, such as low cost, high resolution, low radiation levels, and high availability. In the last decade, Deep Learning (DL) has been given special attention from the computer-aided diagnosis research comm...

Smartwatches are wearable devices of emerging mobile technology and are increasingly in people's daily lives. They allow you to perform various tasks; however, the interaction with these devices still proves to be a significant challenge. Several studies carried out interaction studies with smartwatches using gesture recognition. Thus, this work pr...

This work proposes the development of a method to allow the use of smartwatch as a control for interactive movies using continuous recognition of gestures in smartwatches. We developed two prototypes to interact with interactive movies. The first one uses gesture recognition on the smartwatch screen. Thus, we created a set of gestures composed of s...

Spelling tests for children are a typical activity in primary schools and clinics specialized in child development. Commonly, some child's letters can be mirrored or rotated, and Optical Character Systems (OCRs) do not recognize non-standard letters. Consequently, automatic evaluation approaches are harmed in this context. Furthermore, depending on...

Chest radiography is one of the recommended imaging tests by the World Health Organization for childhood pneumonia diagnosis. In computer-aided diagnostic systems where radiography is the main input, its quality is crucial. The presence of foreign artifacts can, therefore, compromise the performance of these systems. In the radiography exam, foreig...

Chest radiography (CXR) is one of the first choices in epidemiological analyses such as tuberculosis, cancer, pneumonia , and, recently, COVID-19. It provides crucial information for decision making, treatment, and monitoring the evolution of clinical cases from small to high complexity. Thus, it is a valuable source of information for the study, t...

Assessment of children’s spelling development stages is an activity frequent in literacy classrooms. Usually, teachers adopt dictation sessions, using a paper-and-pencil based method, which has to be conducted individually with each child. As there are many students in a class, the activity becomes laborious to be offered frequently, pushing teache...

The manipulation of digital images has become very common in recent years. Thus, it is possible to cut, clone, and resize an image very quickly, which makes it challenging to validate the integrity and authenticity of images. Furthermore, digital images can be used by forensic experts in their forensic investigations. In this context, digital image...

Digital images are found in several sizes and are easily displayed on a computer screen using techniques that can reduce their dimensions. Moreover, algorithms are used to process images to perform several tasks, for instance, detection of people. Recently, gigapixel images emerged, providing a huge amount of data; however, algorithms for people de...

Sugarcane is one of the main crops in the world due to the economic value it promotes by selling its derivatives. A diversity of technologies has been developed to optimize agricultural activities and maximize the productivity of sugarcane crops. In this sense, our primary goal is to contribute to this research area by detecting planting lines and...

In the educational field, there is a concern about helping children to develop emergent literacy skills such as reading and writing. However, this is not a trivial task since children may have different needs based on their skill levels. In this sense, we present an approach that employs mobile and cloud computing technology to adapt activities fro...

Medical X-ray images are an important and valuable source of studies and diagnoses for diseases with low cost besides its high availability. However, radiological images are subject to degradations related to low contrast and the presence of noise. Based on this finding, this article presents a simple but efficient enhancement method for these imag...

In stereo vision field, image processing techniques are used to increase the robustness of some types of solutions, especially those involved in real-world applications. With the objective to improve raw disparity maps, we investigated strategies of how to reduce the error measurement between a map and its correspondent ground truth. In this paper,...

Apresentamos neste trabalho uma aplicação inclusiva que permite pessoas com deficiência visual interagir socialmente com outros indivíduos em atividades de lazer, como jogos que envolvam carteado. Para isso, foi construído um modelo generalizável, treinado para detecção e reconhecimento de cartas de baralho através do aprendizado de máquina profund...

Scheduling is a very important problem in many organizations, such as hospitals, transportation companies, sports confederations and educational institutions. Obtaining a good schedule results in the maximization of some desired benefit. In particular, in educational institutions (from elementary school to universities) this problem is periodically...

The amount of data extracted from production processes has increased exponentially due to the proliferation of sensing technologies. When processed and analyzed, data can bring out valuable information and knowledge from manufacturing process, production system and equipment. In industries, equipment maintenance is an important key, and affects the...

Smartwatches are gaining popularity on market with a set of features comparable to smartphones in a wearable device. This novice technology brings new interaction paradigms and challenges for blind users, who have difficulties dealing with touchscreens. Among a variety of tasks that must be studied, text entry is analyzed, considering that current...

The use of chemicals as a form of prevention, protection, and control to combat diseases that affect plants is a feasible solution involving control measures. However, due to the emergence of microorganisms resistant to these products, new tests need to be performed in the laboratory, requiring the effort of the specialist in phytopathology and in...

In the present paper we explore the idea of combining computation power and the availability of ordinary art spectators in order to produce new interactive art works. This is investigated for a particular application, which consists of producing new behaviors for a programmable art apparatus named C3 Cubes. Given the nature of the problem and some...

As an emerging technology that combines mobile and wearable markets, smartwatches are finding their place on consumers' daily lives. They allow tasks that used to be performed only by smartphones and tracking devices. Despite the increasing interest on them, a task that is still not fully covered by these devices is text entry, mainly due to their...

This work proposes the development of a method for smartwatches that allows to control platform games using continuous recognition of gestures and conducts a case study as the game Super Mario World. Uses a set of gestures based on geometric shapes to send actions to the game. Gesture recognition is performed by the algorithm of continuous gesture...

As a digital image provides such information about a scene, a disparity map can be yielded by means of stereo images. This topic was exhaustively surveyed but it remains one of the most important branches in both computer vision and machine vision. Most algorithms are organized in a pipeline that starts with a matching cost step and ends with a dis...

Metallography is a field of study focused on metal analysis of microstructure, defects, etc, and material identification. ASTM International provides E112 protocol [1] to support material observation based on average grain size. This method requires to count total of grain cut on a circular area of 645 mm 2 or 1 inch 2 and following directions to i...

Bipolar Disorder (BD) is characterized by mood changes that manifest as depressive episodes alternating with episodes of euphoria, in varying degrees of intensity. Women with BD may experience worsening symptoms during events of their reproductive life, particularly those suffering from Premenstrual Dysphoric Disorder (PMDD). The presence of PMDD i...

Digital images can be found in several sizes and they can be easily displayed on a computer screen using algorithms that reduce their dimensions. Recent advances have contributed to the emergence of gigapixel images with a large amount of information. These images can be understood as an image mosaic with multiple single pictures. In this work, we...

In this work, we propose a simple but an effective technique to adjust a disparity map in a more appropriate configuration. This proposal consists of three main steps: seg-mentation process, statistical analysis and by using adaptive weighted windows. Furthermore, we investigate if a disparity map, yielded by a robust stereo method, can be improved...