نتایج جستجو برای: mathematical morphology
تعداد نتایج: 342482 فیلتر نتایج به سال:
A new framework which extends the concepts of soft mathematical morphology into fuzzy sets is presented. Images can be considered as arrays of fuzzy singletons on the Cartesian grid. Based on this notion the definitions for the basic fuzzy soft morphological operations are derived. Compatibility with binary soft mathematical morphology as well as the algebraic properties of fuzzy soft operation...
Mathematical morphology is a non-linear image processing method with twodimensional convolution operation, including binary morphology, gray-level morphology and color morphology. Erosion, dilation, opening operation and closing operation are the basis of mathematical morphology. Mathematical morphology can be used for edge detection, image segmentation, noise elimination, feature extraction an...
Mathematical morphology originated in 1960s. It uses a structuring element to measure and extract corresponding objects in images. The purpose is to analyze and identify these images. Mathematical morphology can be widely applied in geoscience because not only the research object but also the data format in geoscience research is so consistent with mathematical morphology. This article sets out...
Mathematical Morphology (MM) is a general framework for studying mappings between complete lattices. In particular, mappings between binary images that are translation invariant and locally defined within a window are of special interest in MM. They are called W-operators. A key aspect of MM is the representation of W-operators in terms of dilations, erosions, intersection, union, complementati...
ABSTRACT We present a real-time, compact architecture for translation-invariant windowed nonlinear discrete filters represented in computational mathematical morphology (CMM). The architecture enables filter values to be computed in a deterministic number of operations and thus can be pipelined. Memory requirements are proportional to the size of the filter basis. A filter is implemented by thr...
The aim of this paper is to characterize morphological convex geometries (resp., antimatroids). We define these two structures by using closure operators, and kernel operators. We show that these convex geometries are equivalent to poset geometries. 2000 Mathematics Subject Classification. 37F20, 06A07.
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