Enhancing spatio-chromatic representation with more-than-three color coding for image description

Our color wavelet transform is non-marginal and its coefficients - separated into amplitude, phase, orientation and local color axis - have interest- ing physical interpretation

i) We need two image charges, one for each one of the real charges producing the constant external electric field.. The first term is just the potential due to the external field

Let Diam(G) be the diameter of a graph G, defined as the maximum distance between any pair of vertices of G.. The b-chromatic number of some power graphs 47 predecessor) of x i in G

Throughout this paper, we shall use the following notations: N denotes the set of the positive integers, π( x ) denotes the number of the prime numbers not exceeding x, and p i

[1] concerning the size of the maximum number of vertices that can be covered by subsets of i-packings in Q 7 (resp. 1 ≤ i < 8), with the ones concerning the maximum size of

(A set of points in the plane is in convex position if it forms the vertex-set of a convex polygon.) We then consider the flip graph on the perfect matchings of a complete graph of

We propose to use, for each point x k , two measures that overcome these drawbacks: a fuzzy overlap measure which evaluates the degree of overlap of a specified number (l) of

The aim of our work is not to achieve a simple clas- sification but to retrieve images according to their dom- inant color expressed through linguistic expressions and to adapt