Titlebook: Combinatorial Image Analysis; 16th International W Reneta P. Barneva,Valentin E. Brimkov,Josef ?lapal Conference proceedings 2014 Springer

Deadpan

Weighted Distances on a Triangular Gridights are used to define a distance function. Some properties of the weighted distances, including metrical properties are discussed. We also give algorithms that compute the weighted distance of any point-pair on a triangular grid. Formulae for computing the distance are also given. Therefore the i

osteopath

無可非議

A Combinatorial Technique for Construction of Triangular Covers of Digital Objectsere the first algorithm for constructing a minimum-area polygonal cover of a 2D digital object as perceived on a uniform triangular grid. The polygonal cover is triangular in the sense that its boundary consists of a sequence of edges on the underlying grid. The proposed algorithm is based on certai

金絲雀

Equivalent 2D Sequential and Parallel Thinning Algorithmseration steps. Sequential thinning algorithms may alter just one point at a time, while parallel algorithms can delete a set of border points simultaneously. Two thinning algorithms are said to be equivalent if they can produce the same result for each input binary picture. This work shows that the

Meander

Sufficient Conditions for General 2D Operators to Preserve Topologyial types of image operators, namely, reductions and additions, and there have been some sufficient conditions proposed for them. In this paper, as an extension of those earlier results, we give novel sufficient criteria for general operators working on 2D pictures.

browbeat

irreparable

A Variant of Pure Two-Dimensional Context-Free Grammars Generating Picture Languagessimple yet expressive non-isometric language generator of picture arrays. In the present paper, we introduce a new variant of .2.s that generates picture arrays in a leftmost way. We concentrate our attention on determining their generative power by comparing it with the power of other picture gener

RUPT

落葉劑

Memorial

Calibrationless Sensor Fusion Using Linear Optimization for Depth Matching opportunities for exploiting novel features..Using the information gained from a conventional camera we have data about the colours, the shape of objects and the micro-structures; and we have additional information while using thermal camera in the darkness. A camera with depth sensor can find the