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A novel MR image acquisition protocol has been presented in order to obtain high resolution image of the brain at acquisition time. For better delineation of the substructures of the brain we have emphasized enhancing the intensity difference between white and gray matters in the reconstructed MR image of the brain. The mathematical basis of the protocol stems from the T1 weighting combined with an...
Document image has been the area of research for a couple of decades because of its potential application in the area of text recognition, line recognition or any other shape recognition from the image. Text recognition from document image is very much dependent on the language of the text itself. English text recognition algorithms have already been developed and are standardized. Some works on Bangla...
An important approach for landcover classification in remote sensing images is by clustering the pixels in the spectral domain into several fuzzy partitions. In this article the problem of fuzzy clustering is posed as one of searching for some suitable number of cluster centers so that some measures of validity of the obtained partitions should be optimized. In this paper a recently developed multiobjective...
An important approach for landcover classification in remote sensing images is by clustering the pixels in the spectral domain into several partitions. In this article the problem of clustering is posed as one of searching for some suitable number of cluster centers so that some measures of validity of the obtained partitions should be optimized. In this paper a new multiobjective clustering technique...
An important approach for image segmentation is clustering pixels based on their spectral properties. In particular, satellite images contain land cover types, some of which cover significantly large areas, while some (e.g., bridges and roads) occupy relatively much smaller regions. Automatically detecting regions or clusters of such widely varying sizes presents a challenging task. In this letter,...
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