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Aiming at the feature of the cavity microscopic image of the cross-section of Fiberboard, a new algorithm is proposed which can detect the image effectively and accurately. This algorithm used Otsu algorithm to segment the cavity from the microscopic image, then refined the cavity edge by using the GAP statistic model which was based on the difference in distribution function of grey-level. The experimental...
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...
Based on gap statistic model and relative entropy theory, a new edge detecting algorithm is presented in this paper. Firstly, to get the gap membership functions, a dimensional various gap plane is established by calculating gap value per pixel. Then, according to the relative entropy theory, a relative entropy coefficient decision threshold is obtained. Finally, using criterion function algorithm...
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