Texture Classification
Mostrando 1-12 de 59 artigos, teses e dissertações.
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1. Applicability of computer vision in seed identification: deep learning, random forest, and support vector machine classification algorithms
ABSTRACT The use of computer image analysis can assist the extraction of morphological information from seeds, potentially serving as a resource for solving taxonomic problems that require extensive training by specialists whose primary method of examination is visual identification. We propose to test the ability of deep learning, SVM and random forest algo
Acta Bot. Bras.. Publicado em: 2021-03
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2. Global and Local Oriented Gabor Texture Histogram for Person Re-identification
ABSTRACT: Automated person re-identification is a key process in global distributed camera systems. This paper proposes a new feature, the Global and Local-Oriented Gabor Texture Histogram (GLOGTH), for person re-identification. GLOGTH is a combination of the local texture and global structure information of a given input image. This feature aims at represen
Braz. arch. biol. technol.. Publicado em: 25/11/2019
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3. PEDOGENESIS ON COASTAL TABLELANDS AREA WITH LOW RANGE ALTIMETRY IN PARAÍBA STATE
RESUMO Pequenas variações de relevo influenciam na drenagem e no escoamento superficial, contribuindo para a formação de horizontes superficiais arenosos e subsuperficiais endurecidos (fragipãs e, ou, duripãs) em solos dos Tabuleiros Costeiros. Este trabalho investigou a pedogênese em área de Tabuleiros Costeiros com baixa amplitude altimétrica no E
Rev. Caatinga. Publicado em: 18/07/2019
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4. Potential of Texture Analysis for Charcoal Classification
Abstract Charcoal produced from reforested wood can be distinguished from the charcoal derived from the wood of native species. This identification is very important for the trade, control and monitoring of charcoal production in Brazil. This study investigated the potential of texture analysis for classifying the charcoal based on origin (eucalyptus or nati
Floresta Ambient.. Publicado em: 27/06/2019
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5. Análise multivariada de espécies florestais nativas em relação aos atributos químicos e texturais do solo na região de Cotriguaçu- MT
Resumo Objetivou-se neste trabalho classificar as espécies florestais quanto às exigências em fertilidade do solo, bem como identificar grupos com características semelhantes utilizando técnicas da estatística multivariada. Para isso, foram analisadas amostras de solo quanto à textura e aos atributos químicos e realizado um levantamento fitossocioló
Ciênc. Florest.. Publicado em: 30/05/2019
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6. 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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7. 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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8. Is It Possible to Classify Topsoil Texture Using a Sensor Located 800 km Away from the Surface?
ABSTRACT It is often difficult for pedologists to “see” topsoils indicating differences in properties such as soil particle size. Satellite images are important for obtaining quick information for large areas. However, mapping extensive areas of bare soil using a single image is difficult since most areas are usually covered by vegetation. Thus, the aim
Rev. Bras. Ciênc. Solo. Publicado em: 03/11/2016
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9. Breast tumor classification in ultrasound images using support vector machines and neural networks
Abstract Introduction The use of tools for computer-aided diagnosis (CAD) has been proposed for detection and classification of breast cancer. Concerning breast cancer image diagnosing with ultrasound, some results found in literature show that morphological features perform better than texture features for lesions differentiation, and indicate that a reduc
Res. Biomed. Eng.. Publicado em: 10/10/2016
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10. Taxonomic indexes for differentiating malignancy of lung nodules on CT images
Abstract Introduction Lung cancer remains the leading cause of cancer mortality worldwide, with one of the lowest survival rates after diagnosis. Therefore, early detection greatly increases the chances of improving patient survival. Methods This study proposes a method for diagnosis of lung nodules in benign and malignant tumors based on image processing
Res. Biomed. Eng.. Publicado em: 19/09/2016
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11. Image segmentation and particles classification using texture analysis method
Introduction: Ingredients of oily fish include a large amount of polyunsaturated fatty acids, which are important elements in various metabolic processes of humans, and have also been used to prevent diseases. However, in an attempt to reduce cost, recent developments are starting a replace the ingredients of fish oil with products of microalgae, that also p
Res. Biomed. Eng.. Publicado em: 09/09/2016
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12. Genesis and Classification of Soils Containing Carbonates in a Toposequence of the Bambuí Group
ABSTRACT The Bambuí Group, formed from siliciclastic sediments deposited on an extensive epicontinental platform at the end of the Neoproterozoic era, is characterized by limestones with fine to very fine texture. Limestone-derived soils in the southeast of Tocantins state, Brazil, are less notorious than similar soils in other regions of Brazil and their c
Rev. Bras. Ciênc. Solo. Publicado em: 29/08/2016