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Knowing the number of objects present in the image can be useful for further analysis in a wide range of applications. In this project we propose a simple method for automatically determining the number of objects in an image . Once the number of objects are determined the objects per unit area or the density can also be estimated.
c is a strong negator (aka fuzzy complement). A function c satisfying axioms c1 and c3 has at least one fixpoint a * with c(a *) = a *, and if axiom c2 is fulfilled as well there is exactly one such fixpoint. For the standard negator c(x) = 1-x the unique fixpoint is a * = 0.5 . [2]
The choice of can matter quite strongly: every complemented vector subspace has algebraic complements that do not complement topologically. Because a linear map between two normed (or Banach ) spaces is bounded if and only if it is continuous , the definition in the categories of normed (resp. Banach ) spaces is the same as in topological ...
The complement of an edgeless graph is a complete graph and vice versa. Any induced subgraph of the complement graph of a graph G is the complement of the corresponding induced subgraph in G. An independent set in a graph is a clique in the complement graph and vice versa. This is a special case of the previous two properties, as an independent ...
If A is a set, then the absolute complement of A (or simply the complement of A) is the set of elements not in A (within a larger set that is implicitly defined). In other words, let U be a set that contains all the elements under study; if there is no need to mention U, either because it has been previously specified, or it is obvious and unique, then the absolute complement of A is the ...
In the mathematical fields of linear algebra and functional analysis, the orthogonal complement of a subspace of a vector space equipped with a bilinear form is the set of all vectors in that are orthogonal to every vector in .
To calculate the dominant wavelength of a chromaticity (or color), a half straight line is drawn on the chromaticity diagram that passes through the chromaticity's coordinates and starts in the white point (almost always, illuminant E, which is the equal energy white point).
In numerical analysis, the Schur complement method, named after Issai Schur, is the basic and the earliest version of non-overlapping domain decomposition method, also called iterative substructuring. A finite element problem is split into non-overlapping subdomains, and the unknowns in the interiors of the subdomains are eliminated.