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Mathematical morphology is a nonlinear filtering method that can be used in noise suppression, feature extraction, edge detection, image segmentation and other image processing problems. Thanks to the powerful ability of matrix computation provided by the OSSC (Open-source Software for Scientific Computation), we can establish a professional mathematical morphology toolbox. During the past years,...
Practical application of mathematical morphology contributes to simplifying image data, maintaining basic features of shape of an image, and removing irrelevant structure. On the other hand, OSSC (Open-source Software for Scientific Computation) provides essential elements, like matrix operations and image instant display, for establishing professional mathematical morphology toolbox. In this paper,...
A fast algorithm for local maximum and minimum filters is presented by Marcel van Herk, utilizing separability and recursive algorithms. In this paper, we put forward another improved algorithm based on Marcel van Herk's research. The new algorithm makes the comparison for each pixel in two auxiliary spaces without utilizing the original image space with the purpose of reducing the calculation for...
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