Images Analysis
Mostrando 25-36 de 1587 artigos, teses e dissertações.
-
25. Evaluation of Brazilian Monovarietal Extra Virgin Olive Oils Using Digital Images and Independent Component Analysis
Digital images associated with chemometric tools, in a non-destructive approach, have been applied for the evaluation of the Brazilian monovarietal extra virgin olive oil. Independent component analysis (ICA) was employed in the image data evaluation of olive oils produced from distinctive olive varieties, and it was successful in highlighting the natural gr
J. Braz. Chem. Soc.. Publicado em: 2020-09
-
26. 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
-
27. CONSTRUÇÃO DE UM SUPORTE AJUSTÁVEL LAB-MADE IMPRESSO EM 3D PARA MEDIÇÃO DE ÂNGULO DE CONTATO
Advances in the use of 3D printing technology have led to the development of new low-cost devices. This technology features high versatility, considering the easy modulation of the materials depending on its objectives and applications. In this sense, we have developed a laboratory-built contact angle measuring device (lab-made). The device was composed by t
Quím. Nova. Publicado em: 2020-09
-
28. ASPECTOS ESTRUTURAIS DE ESFERAS DE QUITOSANA/PVA RETICULADAS COM GLUTARALDEÍDO SUBMETIDAS A DIFERENTES TRATAMENTOS TÉRMICOS
Chitosan is a biopolymer derived from chitin and the most abundant polysaccharide in nature after cellulose. This biopolymer has been applied in different areas due its biodegradability and biocompatibility properties. Modifications of chitosan structure by cross-linking chemical agents can alter its physical, chemical, and morphological characteristics. The
Quím. Nova. Publicado em: 2020-09
-
29. CLASSIFICATION OF ROBUSTA COFFEE FRUITS AT DIFFERENT MATURATION STAGES USING COLORIMETRIC CHARACTERISTICS
ABSTRACT Coffee growers who produce the robusta species (Conilon) have sought to increase productivity and drink quality by improving production techniques. Artificial vision systems can assist in increasing the efficiency of operations associated with crop management. This study aimed to obtain colorimetric characteristics of robusta coffee fruits at differ
Eng. Agríc.. Publicado em: 2020-08
-
30. Discrimination of pores and cracks in iron ore pellets using deep learning neural networks
Abstract The discrimination between pores and cracks is an important step in the microstructural analysis of iron ore pellets. While the porosity is fundamental during the reduction process in blast furnaces, cracks are strongly detrimental to the mechanical strength. The usual image processing tools cannot automatically discriminate between these two types
REM, Int. Eng. J.. Publicado em: 2020-06
-
31. Microwave Assisted Synthesis of Thiocarbamoylpyrazoles and Application as an Alternative Latent Fingermark Developers
Fingerprints are unique to each individual, contributing to human identification in forensic cases. The powder technique being widely used is considered one of the most important in latent fingermarks analysis. In this sense, the present work aimed to synthesize 1-thiocarbamoyl-4,5-dihydro-1H-pyrazoles and apply them as powder agents to develop latent finger
J. Braz. Chem. Soc.. Publicado em: 2020-06
-
32. MULTIVARIATE ANALYSIS OF DIGITAL IMAGES AS AN ALTERNATIVE TO MONITOR DYE DEGRADATION BY THE FENTON PROCESS
The present work proposed the application of a multivariate regression model based on image data to monitor the decolorization process. Thus, a PLS regression based on the color histogram was applied to monitor the methylene blue degradation by the Fenton reaction. The results obtained by the digital imaging and UV-Vis methods were compared and the initial (
Quím. Nova. Publicado em: 2020-05
-
33. 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
-
34. Classificando cédulas brasileiras (R$) usando análise de imagem por smartphone
A new method to identify the authenticity of Brazilian banknotes (R$) is proposed using digital image analysis by a smartphone application, Photometrix®, associated with chemometric tools. Authentic banknotes (n = 4) obtained in local bank and falsified (n = 12) by the author himself by means of three printers (laser-Deskjet®, wax-Color Qube® and inkjet-D
Quím. Nova. Publicado em: 2020-04
-
35. Methods for and pigments extration and determination of color in tomato for processing cultivars
Abstract The aim of this research was compare methods for pigments extraction and color determination in different tomato for processing cultivars, and choose the most promising materials for the industry. The tomatoes for processing studied were of the IT761, H9992, H9553, AP533, Advance, N901, BRSena, U2006, HY26, HY37 and HY68 cultivars. The extraction y
Food Sci. Technol. Publicado em: 2020-03
-
36. Relationship between Obesity and Coronary Artery Disease Defined by Coronary Computed Tomography Angiography
Abstract Background: Although associated with traditional cardiovascular risk factors, it is unclear whether obesity alone is associated with coronary artery disease (CAD). Objective: To investigate the role of obesity as a risk factor for CAD, defined by coronary computed tomography angiography (CCTA). Methods: This study retrospectively included 1,814 p
Int. J. Cardiovasc. Sci.. Publicado em: 2020-02