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Morphological filters are based on the mathematical morphology based on set theory.
In this paper, after performing a detailed review of the different approaches proposed in the literature, including those based on fuzzy logic, we propose the definition of the hit-or-miss transform for grey-level images in the framework of the fuzzy mathematical morphology based on fuzzy conjunctions and implications under the duality with respect to a fuzzy negation approach.
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First, a mathematical morphology-based shape analysis is used to identify regions in an image that may contain craters; only those regions – crater candidates – are the subject of further processing.
In this paper, the mathematical morphology-based image processing method was used for cell segmentation in the images of the histological sections.
As a first step, BrainView automatically excluded extracranial compartments on each CT section by means of a mathematical morphology-based algorithm.
Currently, disease diagnosis is primarily histology and morphology based.
Thus, resultant image Ro has the connected road component which is greater than T. Matheron and Serra developed mathematical morphology approach which is based on set theory.
New methods based on mathematical morphology provide a generic, flexible, and automated approach for the definition of indicators based on the classification and mapping of spatial patterns of connectivity from observed or simulated movement and dispersal events.
Thus, an image processing technique based on mathematical morphology was used to solve this problem.
A new candidates segmentation method, based on mathematical morphology, is proposed.
This paper focuses on non-linear pattern matching transforms based on mathematical morphology for gray level image processing.
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