Image Segmentation
Mostrando 1-12 de 172 artigos, teses e dissertações.
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1. Free three-dimensional image software in local extension assessment of oral squamous cell carcinoma: a pilot study
Abstract Objective: Oral Squamous Cell Carcinoma (OSCC) is conventionally treated by surgical resection, and positive surgical margins strongly increase local recurrence and decrease survival. This study aimed to evaluate whether a Three-Dimensional Segmentation (3DS) image of OSCC confers advantage over Multiplanar Reconstruction (MPR) of OSCC using images
Brazilian Journal of Otorhinolaryngology. Publicado em: 2022
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2. Analysis of cracks and coating in iron ore pellets by digital image processing
Abstract The pelletizing process agglomerates ore fines previously considered as tailings and makes its application possible in the form of pellets. During the process, the pellets are subjected to various compressive forces and temperature changes, which cause ruptures in their surface. These ruptures (cracks) impair the performance of the pellets in the re
REM, Int. Eng. J.. Publicado em: 2020-09
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3. Detection of foliar diseases using image processing techniques
ABSTRACT This paper presents the development of a methodology to detect the percentage of affected area of Phytophthora infestans disease in tomato plants, using digital image processing techniques to extract the regions of interest with color analysis, where the YIQ and TSL models for the detection of the disease. The method consists of solving one of the m
Rev. Ceres. Publicado em: 2020-04
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4. Mature pomegranate recognition methods in natural environments using machine vision
RESUMO: O uso de máquina para reconhecer romãs maduras em ambientes naturais é de grande importância para melhorar a aplicabilidade e a eficiência do trabalho de robôs de colheita. Ao analisar as características de cor das imagens coloridas de romãs maduras sob diferentes condições de iluminação, a viabilidade do modelo de cores YCbCr para o rec
Cienc. Rural. Publicado em: 02/09/2019
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5. MORPHOLOGICAL CHARACTERIZATION OF COLORECTAL PITS USING AUTOFLUORESCENCE MICROSCOPY IMAGES
RESUMO CONTEXTO: O câncer colorretal é uma das patologias mais prevalentes. Seu prognóstico é ligado à detenção e ao tratamento precoces. Atualmente o diagnóstico é realizado por análise histológica de biópsias de pólipo, seguida de classificação morfológica. A classificação de padrões de Kudo é frequentemente utilizada para a diferenci
Arq. Gastroenterol.. Publicado em: 26/08/2019
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6. Quantificação do colágeno dérmico equino por duas técnicas morfométricas: contagem de pontos e segmentação de cor
RESUMO Os colágenos tipos I e III apresentam diferentes tonalidades de birrefringência em cortes histológicos corados com Picrosirius red e analisados em microscópio sob luz polarizada. Com base nessa propriedade, os colágenos podem ser quantificados por histomorfometria. Entretanto, são muitas as variáveis que podem afetar a distribuição das cores
Arq. Bras. Med. Vet. Zootec.. Publicado em: 14/06/2019
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7. Robust pulmonary segmentation for chest radiography, combining enhancement, adaptive morphology and innovative active contours
Abstract Introduction Statistical data reveal that approximately 140 million radiological exams are performed annually in Brazil. These exams are designed to detect and to analyze fractures, caused by different types of trauma; as well as, to diagnose pathologies such as pulmonary diseases. For better visualization of those lesions or abnormalities, method
Res. Biomed. Eng.. Publicado em: 13/09/2018
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8. A smartphone-based apple yield estimation application using imaging features and the ANN method in mature period
ABSTRACT: Apple yield estimation using a smartphone with image processing technology offers advantages such as low cost, quick access and simple operation. This article proposes distribution framework consisting of the acquisition of fruit tree images, yield prediction in smarphone client, data processing and model calculation in server client for estimating
Sci. agric. (Piracicaba, Braz.). Publicado em: 2018-08
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9. Comparison of automatic and visual methods used for image segmentation in Endodontics: a microCT study
Abstract To calculate root canal volume and surface area in microCT images, an image segmentation by selecting threshold values is required, which can be determined by visual or automatic methods. Visual determination is influenced by the operator's visual acuity, while the automatic method is done entirely by computer algorithms. Objective: To compare betw
J. Appl. Oral Sci.. Publicado em: 2017-12
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10. Chagas disease ecoepidemiology and environmental changes in northern Minas Gerais state, Brazil
BACKGROUND Triatoma sordida and Triatoma pseudomaculata are frequently captured triatomine species in the Brazilian savannah and caatinga biomes, respectively, and in Brazilian domiciles. OBJECTIVES This study identified eco-epidemiological changes in Chagas disease in northern Minas Gerais state, Brazil, and considered the influence of environmental shift
Mem. Inst. Oswaldo Cruz. Publicado em: 2017-11
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11. COMPARATIVE ASSESSMENT BETWEEN PER-PIXEL AND OBJECT-ORIENTED FOR MAPPING LAND COVER AND USE
ABSTRACT: The traditional per-pixel classification methods consider only spectral information, and may be limited. Object-based classifiers, however, also consider shape and texture, firstly segmenting the image, and then classifying individual objects. Thus, a Geographic Object-Based Image Analysis (GEOBIA) was compared in conjunction with data mining techn
Eng. Agríc.. Publicado em: 2017-09
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12. Novel Image Classification technique using Particle Filter Framework optimised by Multikernel Sparse Representation
ABSTRACT The robustness and speed of image classification is still a challenging task in satellite image processing. This paper introduces a novel image classification technique that uses the particle filter framework (PFF)-based optimisation technique for satellite image classification. The framework uses a template-matching algorithm, comprising fast march
Braz. arch. biol. technol.. Publicado em: 23/01/2017