885 resultados para image analysis, gesture recognition, body recognition, computer vision, sistemi multimediali


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Background. Mesothelial injury is the pivot in the development of adhesions. An increase in the proliferation of mesothelial cells was verified by in vitro studies with the use of keratinocyte growth factor (KGF). This study investigated the influence of KGF associated with thermo-sterilized carboxymethyl chitosan (NOCCts) in the reduction of pericardial adhesions. Methods. An induction model of pericardial adhesion was carried out in 24 pigs. Animals were randomly allocated to receive topical application of KGF, KGF + NOCCts, NOCCts, or saline (control). At 8 weeks, intra-pericardial adhesions were evaluated and a severity score was established. The time spent to dissect the adhesions and the amount of sharp dissection used, were recorded. Histologic sections were stained with sirius red for a morphometric evaluation using a computer-assisted image analysis system. Cytokeratin AE1/AE3 immunostaining were employed to identify mesothelial cells. Results. The severity score expressed in median (minimum to maximum), in relation to the control group (17 [15 to 18]), was lower in the KGF + NOCCts group (7 [6 to 9], p < 0.01) followed by the KGF group (11.5 [9 to 12], 0.01 < p < 0.05) and the NOCCts group (12 [9 to 14], p > 0.05). The dissection time was significantly lower in the KGF + NOCCts group (7.1 +/- 0.6 vs 33.9 +/- 9.2 minutes, p < 0.001). A significantly less sharp dissection was also required in the KGF + NOCCts group. In the adhesion segment, a decreased collagen proportion was found in the KGF + NOCCts group (p < 0.05). Mesothelial cells were present more extensively in groups in which KGF was delivered (p = 0.01). Conclusions. The use of KGF associated with NOCCts resulted in a synergic action that decreases postoperative pericardial adhesions in a highly significant way. (Ann Thorac Surg 2010; 90: 566-72) (C) 2010 by The Society of Thoracic Surgeons

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In recent years, it has been observed that software clones and plagiarism are becoming an increased threat for one?s creativity. Clones are the results of copying and using other?s work. According to the Merriam – Webster dictionary, “A clone is one that appears to be a copy of an original form”. It is synonym to duplicate. Clones lead to redundancy of codes, but not all redundant code is a clone.On basis of this background knowledge ,in order to safeguard one?s idea and to avoid intentional code duplication for pretending other?s work as if their owns, software clone detection should be emphasized more. The objective of this paper is to review the methods for clone detection and to apply those methods for finding the extent of plagiarism occurrence among the Swedish Universities in Master level computer science department and to analyze the results.The rest part of the paper, discuss about software plagiarism detection which employs data analysis technique and then statistical analysis of the results.Plagiarism is an act of stealing and passing off the idea?s and words of another person?s as one?s own. Using data analysis technique, samples(Master level computer Science thesis report) were taken from various Swedish universities and processed in Ephorus anti plagiarism software detection. Ephorus gives the percentage of plagiarism for each thesis document, from this results statistical analysis were carried out using Minitab Software.The results gives a very low percentage of Plagiarism extent among the Swedish universities, which concludes that Plagiarism is not a threat to Sweden?s standard of education in computer science.This paper is based on data analysis, intelligence techniques, EPHORUS software plagiarism detection tool and MINITAB statistical software analysis.

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The objective of this thesis work, is to propose an algorithm to detect the faces in a digital image with complex background. A lot of work has already been done in the area of face detection, but drawback of some face detection algorithms is the lack of ability to detect faces with closed eyes and open mouth. Thus facial features form an important basis for detection. The current thesis work focuses on detection of faces based on facial objects. The procedure is composed of three different phases: segmentation phase, filtering phase and localization phase. In segmentation phase, the algorithm utilizes color segmentation to isolate human skin color based on its chrominance properties. In filtering phase, Minkowski addition based object removal (Morphological operations) has been used to remove the non-skin regions. In the last phase, Image Processing and Computer Vision methods have been used to find the existence of facial components in the skin regions.This method is effective on detecting a face region with closed eyes, open mouth and a half profile face. The experiment’s results demonstrated that the detection accuracy is around 85.4% and the detection speed is faster when compared to neural network method and other techniques.

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Learning from anywhere anytime is a contemporary phenomenon in the field of education that is thought to be flexible, time and cost saving. The phenomenon is evident in the way computer technology mediates knowledge processes among learners. Computer technology is however, in some instances, faulted. There are studies that highlight drawbacks of computer technology use in learning. In this study we aimed at conducting a SWOT analysis on ubiquitous computing and computer-mediated social interaction and their affect on education. Students and teachers were interviewed on the mentioned concepts using focus group interviews. Our contribution in this study is, identifying what teachers and students perceive to be the strength, weaknesses, opportunities and threats of ubiquitous computing and computer-mediated social interaction in education. We also relate the findings with literature and present a common understanding on the SWOT of these concepts. Results show positive perceptions. Respondents revealed that ubiquitous computing and computer-mediated social interaction are important in their education due to advantages such as flexibility, efficiency in terms of cost and time, ability to acquire computer skills. Nevertheless disadvantages where also mentioned for example health effects, privacy and security issues, noise in the learning environment, to mention but a few. This paper gives suggestions on how to overcome threats mentioned.

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Fundamentos: A literatura tem demonstrado que a detecção precoce e a remoção cirúrgica em fases iniciais reduz a mortalidade do melanoma e que, em conseqüência, a identificação do melanoma em fases curáveis deve ser encorajada. Objetivos: O interesse principal do estudo foi conhecer se os melanomas cutâneos, no meio, estão sendo diagnosticados em fases iniciais, através de método reprodutível e armazenável. Metodologia: Foi realizado um estudo transversal com os casos de melanomas cutâneos primários, analisados nos laboratórios de patologia de Porto Alegre, de 1° de janeiro de 1994 a 30 de junho de 1995, a fim de avaliar se os diagnósticos foram realizados em estágios precoces. Os casos foram revisados por três dermatopatologistas, que classificaram quanto ao tipo histológico e quanto ao nível de invasão de Clark. Foi realizado um consenso com pelo menos duas concordâncias. A espessura de Breslow foi considerada fator prognóstico determinante e foi medida através de um sistema de análise de imagem computadorizada, por dois membros da equipe. Resultados: Do total de 279 casos que preencheram os critérios de inclusão, 2,15% eram intraepiteliais. Dos melanomas invasivos, 52% tinham espessura ≤ 1,5 mm. Quando agrupado por sexo e procedência, as mulheres de Porto Alegre, capital do estado do Rio Grande do Sul, tiveram a mais alta taxa de diagnóstico precoce (75% ≤ 1,5 mm). O tronco foi o sítio predominante no homem e freqüente na mulher. O melanoma de espalhamento superficial foi o tipo histológico mais freqüente (80,9%), seguido pelo nodular (10,1%). Para definir os determinantes do diagnóstico precoce, foram realizados cruzamentos simples, dos melanomas intraepiteliais somados aos de espessura <0,76 mm, com o sexo, a idade, a procedência, a situação previdenciária, a região anatômica e o tipo histológico. A análise de variáveis múltiplas demonstrou que apenas o sexo (feminino), o sítio anatômico (outras regiões exceto membros inferiores) e a procedência (Porto Alegre) mostraram-se variáveis independentes para determinar um diagnóstico precoce. A idade ≥ 40 anos apresentou significância próxima ao limite. O tipo histológico foi excluído do modelo, uma vez que gerou instabilidade estatística. Conclusão: Embora o número de casos fosse pequeno, o diagnóstico do melanoma ainda é tardio (52% com até 1,5 mm de espessura). Entretanto, existe um subgrupo de diagnóstico precoce que são mulheres, sobretudo de Porto Alegre, possivelmente por estarem mais atentas e informadas sobre os riscos do melanoma. As mudanças no estilo de vida, nas últimas décadas, provavelmente são responsáveis pela maior incidência no tronco e pela alta freqüência de melanoma de espalhamento superficial encontrada. A análise da espessura tumoral por projeção em tela de computador mostrou-se um recurso auxiliar vantajoso.

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Hepatozoon species are the most abundant hemoparasites of snakes. Its identification has been based mainly on the morphologic characterization of the gamonts in the peripheral blood of the vertebrate host and also of the cysts found in the internal organs of the vertebrate and invertebrate hosts. Using a computerized image analysis system, we studied five species of Hepatozoon from recently captured snakes in Botucatu, State of São Paulo, Brazil, to evaluate the importance of the morphology and morphometry of the gamonts for the characterization of Hepatozoon species and to analyze the morphologic changes induced in the erythrocytes by the parasite. The studied species were H. terzii of Boa constrictor amarali, Hepatozoon sp. of Crotalus durissusterrificus, H. philodryasi of Philodryas patagoniensis, and H. migonei and H. cyclagrasi of Hydrodynastes gigas. We observed three different groups, one of them including the species H. terzii, H. philodryasi and Hepatozoon sp. of C. durissus terrificus; and the other two consisting of H. migonei and H. cyclagrasi. Degree of alterations in the erythrocytes was variable and it may be useful for characterization of Hepatozoon species.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Vários procedimentos são utilizados para avaliar o potencial fisiológico de sementes, sendo fundamental a utilização daqueles que reflitam melhor o desempenho em campo. A pesquisa teve como objetivo avaliar o potencial fisiológico de sementes de soja por meio de testes de avaliação rápida, de vigor, de emergência de plântulas em campo e análise computadorizada de imagens (SVIS®), procurando identificar o procedimento mais eficiente na separação de lotes. Cinco lotes das cultivares BRS Valiosa RR e CD 208 foram avaliados em duas épocas (antes e após armazenamento) pelos testes de germinação, de avaliação rápida (embebição em água e pH do exsudato), de vigor (envelhecimento acelerado e condutividade elétrica), de emergência de plântulas em campo e análise computadorizada de imagens (SVIS®). Os testes de germinação em areia, de condutividade elétrica e de embebição em água foram eficientes na separação dos lotes, mas apenas este último possibilitou identificar diferenças consistentes entre os lotes nos dois períodos avaliados. Assim, o teste de embebição em água pode ser considerado promissor na composição de programas de controle de qualidade.

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We propose a multi-resolution, coarse-to-fine approach for stereo matching, where the first matching happens at a different depth for each pixel. The proposed technique has the potential of attenuating several problems faced by the constant depth algorithm, making it possible to reduce the number of errors or the number of comparations needed to get equivalent results. Several experiments were performed to demonstrate the method efficiency, including comparison with the traditional plain correlation technique, where the multi-resolution matching with variable depth, proposed here, generated better results with a smaller processing time

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This study aims to seek a more viable alternative for the calculation of differences in images of stereo vision, using a factor that reduces heel the amount of points that are considered on the captured image, and a network neural-based radial basis functions to interpolate the results. The objective to be achieved is to produce an approximate picture of disparities using algorithms with low computational cost, unlike the classical algorithms

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Visual Odometry is the process that estimates camera position and orientation based solely on images and in features (projections of visual landmarks present in the scene) extraced from them. With the increasing advance of Computer Vision algorithms and computer processing power, the subarea known as Structure from Motion (SFM) started to supply mathematical tools composing localization systems for robotics and Augmented Reality applications, in contrast with its initial purpose of being used in inherently offline solutions aiming 3D reconstruction and image based modelling. In that way, this work proposes a pipeline to obtain relative position featuring a previously calibrated camera as positional sensor and based entirely on models and algorithms from SFM. Techniques usually applied in camera localization systems such as Kalman filters and particle filters are not used, making unnecessary additional information like probabilistic models for camera state transition. Experiments assessing both 3D reconstruction quality and camera position estimated by the system were performed, in which image sequences captured in reallistic scenarios were processed and compared to localization data gathered from a mobile robotic platform

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This work uses computer vision algorithms related to features in the identification of medicine boxes for the visually impaired. The system is for people who have a disease that compromises his vision, hindering the identification of the correct medicine to be ingested. We use the camera, available in several popular devices such as computers, televisions and phones, to identify the box of the correct medicine and audio through the image, showing the poor information about the medication, such: as the dosage, indication and contraindications of the medication. We utilize a model of object detection using algorithms to identify the features in the boxes of drugs and playing the audio at the time of detection of feauteres in those boxes. Experiments carried out with 15 people show that where 93 % think that the system is useful and very helpful in identifying drugs for boxes. So, it is necessary to make use of this technology to help several people with visual impairments to take the right medicine, at the time indicated in advance by the physician