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The paper considers the GS (Gap statistics) model of the optimum segmentation number of the image by taking the standard gray values of the image and the position information as the data and by endowing them the normalizing weights. It studies, by taking the weights as the variables, the evolvement of the optimum segmentation of the image from the pure gray values to the pure space data of the image...
In this paper, we present a scheme towards the segmentation of English multi-oriented touching strings into individual characters. When two or more characters touch, they generate a big cavity region at the background portion. Using Convex Hull information, we use these background information to find some initial points to segment a touching string into possible primitive segments (a primitive segment...
This paper presents a dynamic programming algorithm to detect dominant points within a planar digital curve by approximating the given curve with quadric Bezier curves. Normally, people use cubic or higher curves to piecewise approximate a given curve, and the main job is to achieve an accurate approximation instead of dominant point detection. While using cubic or higher curves in the process of...
In averaging power spectral density (PSD) estimation methods, such as Bartlett and Welch approaches, segmented version of data is used. However, no systematic method for the choice of optimum segmentation is available. In this paper, we provide a novel approach to nonparametric PSD estimation that not only provides the optimum segmentation in these approaches, but also combines these approaches with...
In Silicon Pixel Detector systems the pixel size and detector thickness are often determined by spatial resolution and material budget requirements. Nevertheless, in some applications there is, within certain limits, freedom in the choice of these parameters. It is therefore interesting to understand what are the optimum pixel size and detector thickness which maximize Signal to Noise Ratio (SNR)...
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