Abstract. We consider a generalization of the classical binary matrix reconstruction problem by considering new constraints of adjacency between the cells: if a given cell is of value 1 then all its neighbors are of value 0. This problem arises especially on statistical physics. We consider several definitions of neighborhood and for each one we give complexity results and necessary and/or sufficient conditions for the existence of a solution.Key words and phrases: discrete tomography, matrix reconstruction, adjacency constraint
Binary tomography is concerned with the recovery of binary images from a few of their projections (i...
Abstract: We consider the problem of reconstructing binary images from their horizontal and vertical...
We present a novel convex relaxation and a corresponding inference algorithm for the non-binary disc...
Given a binary matrix, its horizontal and vertical projections are defined asthe sum of its elements...
We are concerned with binary matrix reconstruction from their orthogonal projections. To the basic p...
AbstractThe paper studies the problem of reconstructing binary matrices constrained by binary tomogr...
This paper deals with the reconstruction of binary matrices having exactly-1-4-adjacency constraints...
The paper studies the problem of reconstructing binary matrices constrained by binary tomographic in...
AbstractUsing a dynamic programming approach, we prove that a large variety of matrix reconstruction...
AbstractOne of the main problems in discrete tomography is the reconstruction of binary matrices fro...
The recovery of an unknown density function from the knowledge of its projections is the aim of tomo...
AbstractThere are many algorithms in the literature for the approximating reconstruction of a binary...
In the field of Discrete Tomography, the 2-color problem consists in reconstructing a matrix whose e...
We study the problem of reconstructing a three dimensional binary matrices whose interiors are only ...
Binary tomography is concerned with the recovery of binary images from a few of their projections (i...
Abstract: We consider the problem of reconstructing binary images from their horizontal and vertical...
We present a novel convex relaxation and a corresponding inference algorithm for the non-binary disc...
Given a binary matrix, its horizontal and vertical projections are defined asthe sum of its elements...
We are concerned with binary matrix reconstruction from their orthogonal projections. To the basic p...
AbstractThe paper studies the problem of reconstructing binary matrices constrained by binary tomogr...
This paper deals with the reconstruction of binary matrices having exactly-1-4-adjacency constraints...
The paper studies the problem of reconstructing binary matrices constrained by binary tomographic in...
AbstractUsing a dynamic programming approach, we prove that a large variety of matrix reconstruction...
AbstractOne of the main problems in discrete tomography is the reconstruction of binary matrices fro...
The recovery of an unknown density function from the knowledge of its projections is the aim of tomo...
AbstractThere are many algorithms in the literature for the approximating reconstruction of a binary...
In the field of Discrete Tomography, the 2-color problem consists in reconstructing a matrix whose e...
We study the problem of reconstructing a three dimensional binary matrices whose interiors are only ...
Binary tomography is concerned with the recovery of binary images from a few of their projections (i...
Abstract: We consider the problem of reconstructing binary images from their horizontal and vertical...
We present a novel convex relaxation and a corresponding inference algorithm for the non-binary disc...