morphological$50422$ - ορισμός. Τι είναι το morphological$50422$
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Τι (ποιος) είναι morphological$50422$ - ορισμός

THEORY AND TECHNIQUE FOR THE ANALYSIS AND PROCESSING OF GEOMETRICAL STRUCTURES
Morphological image processing; Morphological Image Processing; Mathematical Morphology; Morphological operations
  • The closing of the dark-blue shape (union of two squares) by a disk, resulting in the union of the dark-blue shape and the light-blue areas.
  • The dilation of the dark-blue square by a disk, resulting in the light-blue square with rounded corners.
  • A shape (in blue) and its morphological dilation (in green) and erosion (in yellow) by a diamond-shaped structuring element.
  • The erosion of the dark-blue square by a disk, resulting in the light-blue square.
  • The opening of the dark-blue square by a disk, resulting in the light-blue square with round corners.
  • Watershed of the gradient of the cardiac image

Morphological parsing         
Orthographic rules; Morphological rules
Morphological parsing, in natural language processing, is the process of determining the morphemes from which a given word is constructed. It must be able to distinguish between orthographic rules and morphological rules.
Morphological box         
Zwickys morphological box; Zwicky box
Morphological analysis was designed for multi-dimensional, non-quantifiable problems where causal modeling and simulation do not function well or at all. Fritz Zwicky developed this approach to seemingly non-reducible complexity (Zwicky, 1966, 1969).
Morphological leveling         
GENERALIZATION OF AN INFLECTION ACROSS A LINGUISTIC PARADIGM
Was-leveling; Is-leveling; Morphological levelling; Paradigm leveling; Paradigm levelling
In linguistics, morphological leveling or paradigm leveling is the generalization of an inflection across a linguistic paradigm, a group of forms with the same stem in which each form corresponds in usage to different syntactic environments, or between words.Ishtla Singh (2005).

Βικιπαίδεια

Mathematical morphology

Mathematical morphology (MM) is a theory and technique for the analysis and processing of geometrical structures, based on set theory, lattice theory, topology, and random functions. MM is most commonly applied to digital images, but it can be employed as well on graphs, surface meshes, solids, and many other spatial structures.

Topological and geometrical continuous-space concepts such as size, shape, convexity, connectivity, and geodesic distance, were introduced by MM on both continuous and discrete spaces. MM is also the foundation of morphological image processing, which consists of a set of operators that transform images according to the above characterizations.

The basic morphological operators are erosion, dilation, opening and closing.

MM was originally developed for binary images, and was later extended to grayscale functions and images. The subsequent generalization to complete lattices is widely accepted today as MM's theoretical foundation.