Images Database
Mostrando 1-12 de 108 artigos, teses e dissertações.
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1. 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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2. Tourism and photography: a bibliometric study of using image analysis methodologies in tourism research
Resumo Este artigo se propõe a investigar o uso de metodologias de análise da imagem em pesquisas de turismo nacionais e internacionais recentes (2012 a 2017). Por meio de pesquisa exploratória e de uma revisão sistemática de literatura, de caráter bibliométrico, em bases de periódicos mundiais, buscou-se verificar as principais metodologias utilizad
Rev. Bras. Pesq. Tur.. Publicado em: 25/11/2019
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3. Semi-automated counting model for arbuscular mycorrhizal fungi spores using the Circle Hough Transform and an artificial neural network
Abstract: Arbuscular Mycorrhizae (AM) are mutualistic associations between Arbuscular Mycorrhizal Fungi (AMF) and the roots of many plant species. AMF spores give rise to filaments that develop in the root system of plants and contribute to the absorption of water and some nutrients. This article introduces a semi-automated counting model of AMF spores in sl
An. Acad. Bras. Ciênc.. Publicado em: 21/10/2019
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4. Karyotypes of Brazilian non-volant small mammals (Didelphidae and Rodentia): An online tool for accessing the chromosomal diversity
Abstract We have created a database system named CIPEMAB (CItogenética dos PEquenos MAmíferos Brasileiros) to assemble images of the chromosomes of Brazilian small mammals (Rodents and Marsupials). It includes karyotype information, such as diploid number, karyotype features, idiograms, and sexual chromosomes characteristics. CIPEMAB facilitates quick shar
Genet. Mol. Biol.. Publicado em: 28/06/2018
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5. Content Based Geographic Image Retrieval using Local Vector Pattern
ABSTRACT Large image archives formed by satellite remote sensing missions are getting an increasing valuable source of information in Geographic Information Systems (GIS). The need for retrieving a required image from a huge image database is increasing significantly for the purpose of analyzing resources in GIS. Content Based Geographic Image Retrieval (CBG
Braz. arch. biol. technol.. Publicado em: 25/06/2018
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6. Breast cancer diagnosis based on mammary thermography and extreme learning machines
Abstract Introduction Breast cancer is the most common cancer in women and one of the major causes of death from cancer among female around the world. The early detection and treatment are the major way to healing. The use of mammary thermography in Mastology is increasing as a complementary imaging technique to early detect lesions. Its use as a screening
Res. Biomed. Eng.. Publicado em: 05/03/2018
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7. Development of a mouse computational model for MCNPx based on Digimouse (r) images and dosimetric assays
ABSTRACT The aim of this study was to create and test a new mice 3D-voxel phantom named DM_BRA for mice and human first-estimation radiopharmaceutical dosimetry. Previously, the article reviews the state-of-art in animal model development. Images from Digimouse CT database were used in the segmentation and on the generation of the voxelized phantom. Simulati
Braz. J. Pharm. Sci.. Publicado em: 20/04/2017
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8. Breast density pattern characterization by histogram features and texture descriptors
Abstract Introduction Breast cancer is the first leading cause of death for women in Brazil as well as in most countries in the world. Due to the relation between the breast density and the risk of breast cancer, in medical practice, the breast density classification is merely visual and dependent on professional experience, making this task very subjective
Res. Biomed. Eng.. Publicado em: 06/04/2017
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9. A fully automatic method for recognizing hand configurations of Brazilian sign language
Abstract Introduction Sign language is a collection of gestures, postures, movements, and facial expressions used by deaf people. The Brazilian sign language is Libras. The use of Libras has been increased among the deaf communities, but is still not disseminated outside this community. Sign language recognition is a field of research, which intends to help
Res. Biomed. Eng.. Publicado em: 2017-03
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10. The value of preoperative magnetic resonance imaging in predicting postoperative recovery in patients with cervical spondylosis myelopathy: a meta-analysis
This meta-analysis was designed to elucidate whether preoperative signal intensity changes could predict the surgical outcomes of patients with cervical spondylosis myelopathy on the basis of T1-weighted and T2-weighted magnetic resonance imaging images. We searched the Medline database and the Cochrane Central Register of Controlled Trials for this purpose
Clinics. Publicado em: 2016-03
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11. Incidence and classification of bifid mandibular canals using cone beam computed tomography
Abstract Aim: To determine the prevalence and classification of bifid mandibular canals using cone beam computed tomography (CBCT). Methods: The sample comprised 300 CBCT scans obtained from the Radiology and Imaging Department database at São Leopoldo Mandic Dental School, Campinas, SP, Brazil. All images were performed on Classic I-Cat(r) CBCT scanner,
Braz. J. Oral Sci.. Publicado em: 2015-12
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12. IMPLEMENTAÇÃO DE UM SISTEMA DE TELEDIAGNÓSTICO PARA CLASSIFICAÇÃO DE MASSAS EM IMAGENS MAMOGRÁFICAS USANDO ANÁLISE DE COMPONENTES INDEPENDENTES / IMPLEMENTATION OF A SYSTEM OF TELEDIAGNOSIS FOR CLASSIFICATION OF MASSES IN MAMMOGRAPHIC IMAGES USING INDEPENDENT COMPONENT ANALYSIS
This thesis proposes the modeling and implementation of a telediagnostic system for analysis and detection of lesions in mammographic images based on independent component analysis and support vector machine. The system analyzes images from digital mammography sent over the Internet and provides a diagnostic, indicating the presence of suspicious regions, wh
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 24/07/2012