37 resultados para Segmentação na escrita
Resumo:
In 1956, Luís da Câmara Cascudo published his book Geografia do Brasil Holandês. In this book, he studied and described a space - the Dutch Brazil - from a geographical and historical perspective. To do this, he articulated both perspectives from the point of view of his own reading of the History of Nordeste , establishing a dialogue with the historiographical tradition of the study of the Dutch Brazil in Pernambuco. When portraying the Dutch presence in Nordeste, Cascudo articulated a drama in which the Dutch would have their history described as a typically tragic plot, portrayed as if they were already condemned to failure in advance. To this tragedy he opposed a predominantly comic Portuguese plot, as if the Portuguese victory over the Dutch was as desirable as inevitable for the space of Nordeste . When narrating the clash between the Dutch and the Portuguese for the space of Nordeste , however, Cascudo ended up delineating his own place of speech, as a spokesperson for the identity of the potiguar space in opposition to the pernabucano space described by Freyre and Gonsalves de Mello. In this way, the space of Rio Grande do Norte would have its own identity, constructed from de Dutch absence and constituted from the Portuguese legacy contrarily to the space of Pernambuco, narrated from an articulation and a conciliation of the Flemish and Lusitan legacy, even though highlighting the latter. While the Dutch would had been a constant presence in the history of Pernambuco for Freyre and Gonsalves de Mello, they wouldn t have gone beyond legend in the space of Rio Grande do Norte, removed from its geography and erased from its history. When describing de geography of the potiguar space, therefore, Cascudo articulates the inexistence of the History of a time dominated by the Fleming with the search of a Portuguese space, trough the narration of its origins and constitution, as well as the registry of the characteristics of its legacy
Resumo:
The vascular segmentation is important in diagnosing vascular diseases like stroke and is hampered by noise in the image and very thin vessels that can pass unnoticed. One way to accomplish the segmentation is extracting the centerline of the vessel with height ridges, which uses the intensity as features for segmentation. This process can take from seconds to minutes, depending on the current technology employed. In order to accelerate the segmentation method proposed by Aylward [Aylward & Bullitt 2002] we have adapted it to run in parallel using CUDA architecture. The performance of the segmentation method running on GPU is compared to both the same method running on CPU and the original Aylward s method running also in CPU. The improvemente of the new method over the original one is twofold: the starting point for the segmentation process is not a single point in the blood vessel but a volume, thereby making it easier for the user to segment a region of interest, and; the overall gain method was 873 times faster running on GPU and 150 times more fast running on the CPU than the original CPU in Aylward
Resumo:
The segmentation of an image aims to subdivide it into constituent regions or objects that have some relevant semantic content. This subdivision can also be applied to videos. However, in these cases, the objects appear in various frames that compose the videos. The task of segmenting an image becomes more complex when they are composed of objects that are defined by textural features, where the color information alone is not a good descriptor of the image. Fuzzy Segmentation is a region-growing segmentation algorithm that uses affinity functions in order to assign to each element in an image a grade of membership for each object (between 0 and 1). This work presents a modification of the Fuzzy Segmentation algorithm, for the purpose of improving the temporal and spatial complexity. The algorithm was adapted to segmenting color videos, treating them as 3D volume. In order to perform segmentation in videos, conventional color model or a hybrid model obtained by a method for choosing the best channels were used. The Fuzzy Segmentation algorithm was also applied to texture segmentation by using adaptive affinity functions defined for each object texture. Two types of affinity functions were used, one defined using the normal (or Gaussian) probability distribution and the other using the Skew Divergence. This latter, a Kullback-Leibler Divergence variation, is a measure of the difference between two probability distributions. Finally, the algorithm was tested in somes videos and also in texture mosaic images composed by images of the Brodatz album
Resumo:
Image segmentation is the process of subdiving an image into constituent regions or objects that have similar features. In video segmentation, more than subdividing the frames in object that have similar features, there is a consistency requirement among segmentations of successive frames of the video. Fuzzy segmentation is a region growing technique that assigns to each element in an image (which may have been corrupted by noise and/or shading) a grade of membership between 0 and 1 to an object. In this work we present an application that uses a fuzzy segmentation algorithm to identify and select particles in micrographs and an extension of the algorithm to perform video segmentation. Here, we treat a video shot is treated as a three-dimensional volume with different z slices being occupied by different frames of the video shot. The volume is interactively segmented based on selected seed elements, that will determine the affinity functions based on their motion and color properties. The color information can be extracted from a specific color space or from three channels of a set of color models that are selected based on the correlation of the information from all channels. The motion information is provided into the form of dense optical flows maps. Finally, segmentation of real and synthetic videos and their application in a non-photorealistic rendering (NPR) toll are presented
Resumo:
Este artigo aponta as características de uma escrita performática a partir do cruzamento entre o discurso ficcional, o discurso filosófico e o discurso crítico como formas equivalentes de experiência. Busca-se compreender os diferentes contextos em que a performance, como campo de experimentação, invade a área dos estudos literários, produzindo efeitos de deslocamento do cânone e seus modos de legitimidade, bem como visa a problematizar os lugares determinados do emissor e do receptor do texto; do artista, do filósofo e do crítico
Resumo:
In this work, we intend to discuss results from a research about retextualization in gender journalistic interview, considering speech dialogical approach. Retextualization activity, which implies the production of a new text through one or more basic texts, shows the presence of reported speech as an integral unit of discursive construction. Our corpus had been extracted from a section called Nossos Valores [Our Values], present at the syndical newspaper Adurn Notícias [Adurn News], from Federal University of Rio Grande do Norte (Brazil), which weekly publishes journalistic interviews with active professors from this institution. We describe retextualised text structure by correlating it to the one from the oral text, in order to identify and describe quoted speech, as well as features of the gender in which it is inserted. It was verified that, when it comes to reported speech present in the published interviews, which are representative of the research corpus, diverse incorporation procedures of alien property‟s speech take place, especially those regarding about reported speech use. The waterish presence of the other present in dialoged texts speech transformed in monologue texts demonstrates that there is not a clear demarcation among voices in certain parts of the written text. This is confirmed during analyses of the two interview versions, in which it is not always possible to distinguish the authorship of certain propositions, which in some way can point to Bakhtin‟s concept of intentional hybridity. Beyond Bakhtin‟s contributions (1990; 2000), the theoretical principles of this work are based upon Marcuschi (1986; 1999; 2001), Matencio (2003), Authier-Revuz (1982), and Favero et al. (1997; 1998; 1999; 2000)
Resumo:
Image segmentation is the process of labeling pixels on di erent objects, an important step in many image processing systems. This work proposes a clustering method for the segmentation of color digital images with textural features. This is done by reducing the dimensionality of histograms of color images and using the Skew Divergence to calculate the fuzzy a nity functions. This approach is appropriate for segmenting images that have colorful textural features such as geological, dermoscopic and other natural images, as images containing mountains, grass or forests. Furthermore, experimental results of colored texture clustering using images of aquifers' sedimentary porous rocks are presented and analyzed in terms of precision to verify its e ectiveness.