386 resultados para Detecção automática
Resumo:
One of the main problems in Computer Vision and Close Range Digital Photogrammetry is 3D reconstruction. 3D reconstruction with structured light is one of the existing techniques and which still has several problems, one of them the identification or classification of the projected targets. Approaching this problem is the goal of this paper. An area based method called template matching was used for target classification. This method performs detection of area similarity by correlation, which measures the similarity between the reference and search windows, using a suitable correlation function. In this paper the modified cross covariance function was used, which presented the best results. A strategy was developed for adaptative resampling of the patterns, which solved the problem of deformation of the targets due to object surface inclination. Experiments with simulated and real data were performed in order to assess the efficiency of the proposed methodology for target detection. The results showed that the proposed classification strategy works properly, identifying 98% of targets in plane surfaces and 93% in oblique surfaces.
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The Brazilian Cartography presents great deficiency in cartographic products updating. This form, Remote Sensins techniques together Digital Processing Images - DPI, are contributing to improve this problem. The Mathematical Morphology theory was used in this work. The principal function was the pruning operator. With its were extracted the interest features that can be used in cartographic process updating. The obtained results are positives and showed the use potential of mathematical morphology theory in cartography, mainly in updating.
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The purpose of this paper is to introduce a methodology for semi-automatic road extraction from aerial digital image pairs by using dynamic programming and epipolar geometry. The method uses both images from where each road feature pair is extracted. The operator identifies the corresponding road featuresand s/he selects sparse seed points along them. After all road pairs have been extracted, epipolar geometry is applied to determine the automatic point-to-point correspondence between each correspondent feature. Finally, each correspondent road pair is georeferenced by photogrammetric intersection. Experiments were made with rural aerial images. The results led to the conclusion that the methodology is robust and efficient, even in the presence of shadows of trees and buildings or other irregularities.
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In this paper is proposed a methodology for semiautomatic CBERS image orientation using roads as ground control. It is based on an iterative strategy involving three steps. In the first step, an operator identifies on the image the ground control roads and supplies along them a few seed points, which could be sparsely and coarsely distributed. These seed points are used by the dynamic programming algorithm for extracting the ground control roads from the image. In the second step, it is established the correspondences between points describing the ground control roads and the corresponding ones extracted from the image. In the last step, the corresponding points are used to orient the CBERS image by using the DLT (Direct Linear Transformation). The two last steps are iterated until the convergence of the orientation process is verified. Experimental results showed that the proposed methodology was efficient with several test images. In all cases the orientation process converged. Moreover, the estimated orientation parameters allowed the registration of check roads with pixel accuracy or better.
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Running water is one of the most important of all the physical processes which fashion the landscape, allowing gravity to operate along the valley floors. Besides this, the streams show a fast adjustment to the crustal deformations, even to the most gentle ones. This geologic behavior turns them a potential tool for neotectonic studies, specially the analysis of morphotnetric parameters associated with hydraulic gradient and discharge, this second factor being directly proportional to the extension of the streams. Both elements, gradient and stream length, can be combined in the SL index. The purpose of this paper is to show the RDE index application in the neotectonics analysis of the Rio do Peixe hydrographic basin and to compare the obtained values with the geologic basement incised by the streams. This basement encompasses Cretaceous sedimentary rocks of post-Serra Oeral Formation magmatism (Caiuá and Bauru groups) and Quaternary deposits that include chiefly recent alluvial plains and some Pleistocene terrace deposits. In the final part of this paper, an attempt is made in order to correlate the RDE results and the neotectonic framework admitted to this portion of the São Paulo State territory, as well as with field geologic, seismologic and paleoseismologic known elements. The results indicate the presence of two groups of anomalies: The first set corresponds to the Marília-Exaporã Plateau border, and the second one, located in the central portion of the hydrographic basin, is correlated to the Presidente Prudente seimogenic zone.
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This study was performed in order to evaluate the detection limit of PCR with fluorescent capillary electrophoresis for Leptospira pomona diagnosis in bovine semen. Negative bovine semen samples were artificially contaminated with Leptospira pomona (10 0 to 10 7 bacteria/ ml) and DNA was extracted by phenol/chloroform protocol. DNA fragments visualization was done by three electrophoresis methods: under UV light in 2 % agarose gel, silver staining 8% polyacrylamide gel and fluorescent capillary electrophoresis. The detection limit of capillary electrophoresis for Leptospira pomona was 10 2bacteria/ml. Under UV light, in 2 % agarose gel, the detection limit was of 10 4 bacteria/ ml while for silver stained 8 % polyacrylamide gel it was 10 2 bacteria/ ml. PCR with fluorescent capillary electrophoresis is an efficient and rapid diagnostic test for DNA detection of Leptospira in bovine semen and this can be an important tool for herd and semen sanitary control in artificial insemination centers.
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The edges detection model by a non-linear anisotropic diffusion, consists in a mathematical model of smoothing based in Partial Differential Equation (PDE), alternative to the conventional low-pass filters. The smoothing model consists in a selective process, where homogeneous areas of the image are smoothed intensely in agreement with the temporal evolution applied to the model. The level of smoothing is related with the amount of undesired information contained in the image, i.e., the model is directly related with the optimal level of smoothing, eliminating the undesired information and keeping selectively the interest features for Cartography area. The model is primordial for cartographic applications, its function is to realize the image preprocessing without losing edges and other important details on the image, mainly airports tracks and paved roads. Experiments carried out with digital images showed that the methodology allows to obtain the features, e.g. airports tracks, with efficiency.
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Slime production is an important virulence factor of coagulase-negative Staphylococcus spp., allowing them to attach to smooth surfaces of biomaterials, and it has been associated with infections of implanted medical devices. In the present study the production of slime capsules in 27 strains of coagulase-negative Staphylococcus was investigated by culture in Congo Red agar (77.7% positivity), spectrophotometric or microplate method (81.4% positivity) and scanning electron microscopy (88.9% positivity). The resistance of coagulase-negative strains of Staphylococcus to various antimicrobial agents was also determined by agar disk diffusion. The proportion of strains resistant to penicillin G, oxacillin, erythromycin, clindamycin and gentamicin among the slime-producing staphylococci was 88.9%, 70.4%, 81.5%, 66.7% and 59.2%, respectively; all of the coagulase-negative staphylococci were susceptible to vancomycin. The strains isolated from central venous catheters were identified by a conventional method and the API Staph system. The 27 coagulase-negative Staphylococcus strains were identified as: S. saprophyticus (3.7%), S. xylosus (7.4%), S. haemolyticus (14.8%), S. epidermidis (37.0%), S. warneri (14.8%), S. lugdunensis (7.4%), S. hominis (7.4%), S. schleiferi (3.7%) and S. chromogenes (3.7%). It can be concluded that in the most of the coagulase-negative Staphylococcus species there was an association between slime production, the nosocomial origin of the strains and reduced sensitivity to the antibiotics, suggesting a pathogenic potential in the hospital environment.
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Infection by Toxoplasma gondii in equines is usually not apparent, it being characterized by presence of antibody titers and tissue cysts. This study was aimed at verifying the presence of anti-Toxoplasma antibodies in equine serum by modified agglutination test (MAT) and reaction to indirect immunofluorescent antibody test (IFAT). 1984 samples of serum were examined, by MAT, using whole formalin fixed tachyzoites of T.gondii as antigen. The samples reacting in the MAT test, and 150 other negative samples, chosen at random, were also tested by IFAT, utilizing anti-equine IgG. The association among the test results was verified by the McNemar test. 138 samples were positive in the MAT test, with 60 (46.38%) presenting reaction at a dilution of 1:64; 52 (37.7%) at 1:256; 19 (13.8%) at 1:1024; five (3.6%) at 1:4096; and two (1.45%) at 1:16384. Of 132 positive MAT samples, 14 were negative in the IFAT test, but the statistical analysis indicated general agreement in results of the tests. The results obtained showed agreement among the tests utilized, and the possibility of participation of equines in the transmission of toxoplasmosis to carnivorous animals, and also to humans.
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Laboratory tests to detect urinary infection at a lawer cost than uroculture are necessary. Triphenyl tetrazolium chloride was evaluated in parallel with uroculture in 342 urine samples, for the detection of significant bacteriuria. The results showed that the test has high sensitivity (91.3%) but low specificity (64.3%), and negative predictive value 99.0%. Although the test cannot replace uroculture as a diagnostic method, it can be recommended for preliminary screening, and could eliminate the need for uroculture of negative samples.
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GPS active networks are more and more used in geodetic surveying and scientific experiments, as water vapor monitoring in the atmosphere and lithosphere plate movement. Among the methods of GPS positioning, Precise Point Positioning (PPP) has provided very good results. A characteristic of PPP is related to the modeling and / or estimation of the errors involved in this method. The accuracy obtained for the coordinates can reach few millimeters. Seasonal effects can affect such accuracy if they are not consistent treated during the data processing. Coordinates time series analyses have been realized using Fourier or Harmonics spectral analyses, wavelets, least squares estimation among others. An approach is presented in this paper aiming to investigate the seasonal effects included in the stations coordinates time series. Experiments were carried out using data from stations Manaus (NAUS) and Fortaleza (BRFT) which belong to the Brazilian Continuous GPS Network (RBMC). The coordinates of these stations were estimated daily using PPP and were analyzed through wavelets for identification of the periods of the seasonal effects (annual and semi-annual) in each time series. These effects were removed by means of a filtering process applied in the series via the least squares adjustment (LSQ) of a periodic function. The results showed that the combination of these two mathematical tools, wavelets and LSQ, is an interesting and efficient technique for removal of seasonal effects in time series.
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The outdating of cartographic products affects planning. It is important to propose methods to help detect changes in surface. Thus, the combined use of remote sensing image and techniques of digital image processing has contributed significantly to minimize such outdating. Mathematical morphology is an image processing technique which describes quantitatively geometric structures presented in the image and provides tools such as edge detectors and morphological filters. Previous studies have shown that the technique has potential on the detection of significant features. Thus, this paper proposes a routine of morphological operators to detect a road network. The test area corresponds to an excerpt Quickbird image and has as a feature of interest an avenue of the city of Presidente Prudente, SP. In the processing, the main morphological operators used were threshad, areaopen, binary and erosion. To estimate the accuracy with which the linear features were detected, it was done the analysis of linear correlation between vectors of the features detected and the corresponding topographical map of the region. The results showed that the mathematical morphology can be used in cartography, aiming to use them in conventional cartographic updating processes.
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Escherichia coli is a bacteria of the Enterobacteriacea family and it is part of the enterical microflora of mammals and of many species of birds. Salmonella spp. also belongs to the family Enterobacteriacea, it is responsible for human feed toxinfection outbreaks and usually isolated from domestic and wild birds. The present study analyzed the frequency of both agents in Psittaciformes in rehabilitation process for wildlife reintroduction. In 89 birds analyzed, 19% were infected with E. coli and 1,12% with Salmonella spp. It was carried out an analysis of the profile of antibiotic resistance in which was observed the efficiency of estreptomicin, tetraciclin, trimetoprim and gentamicin over the samples. The samples of E. coli were submitted to the Congo Red Binding test and to the Hemolisis test and 70,6% of positive samples for the first test and 53% for the second one were observed.
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Visceral leishmaniasis (VL) has been a widespread zoonosis in São Paulo since 1998, when the first autochthonous canine case was identified in Araçatuba. The aim of this study was to determine the occurrence of anti-Leishmania infantum syn chagasi antibodies in serum samples of 584 dogs from São José do Rio Preto, São Paulo, a non endemic area for the disease. Five dogs (0.86%) seroconverted by ELISA and one (0.17%) by immunochromatography. The indirect immunofluorescent reaction, carried out in 138 animals whose optical densities were above or close to ELISA's cutt-off point, evidenced two dogs (1.45%) with titers above 1:40. Only one dog was serum-reactive on the three techniques. Although there was not a history of displacing this animal to endemic areas, the dog had been acquired in a region with canine and human cases of VL. These results suggests that there were no autochthonous cases of canine VL in this population.
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This paper aims at extracting street centerlines from previously isolated street regions by using the image of laser scanning intensity. In this image, streets are easily identified, since they manifest as dark, elongate ribbons contrasting with background objects. The intensity image is segmented by using the region growing technique, which generates regions representing the streets. From these regions, the street centerlines are extracted in two manners. The first one is through the Steger lines detection method combined with a line length thresholding by which lines being shorter than a minimum length are removed. The other manner is by combining the skeletonization method of regions based on the Medial Axis Transform and with a pruning process to eliminate as much as possible the ramifications. Experiments showed that the Steger-based method provided results better than the method based on skeletonization.