Titlebook: Computational Modeling of Objects Represented in Images; Second International Reneta P. Barneva,Valentin E. Brimkov,Jo?o Manuel Conference

Nomadic

Abrade

野蠻

正面

激怒

An Algorithm to Decompose ,-Dimensional Rotations into Planar RotationsIn this paper, we present an algorithm that decomposes an .-dimensional rotation into planar rotations. The input data are . points and their images by the rotation to be decomposed. An evaluation of the existing methods and numerical examples are also provided.

令人苦惱

A New Method for Generation of Three-Dimensional CubesA chain code for representing three-dimensional (3D) curves was defined in [3]. In this paper we make use of Petri nets to generate a collection of three-dimensional graphs which yield three-dimensional cubes.

不真

Generalized Perpendicular Bisector and Circumcenter bisectors between two regions as an area where each point is the center of at least one circle crossing each of the two regions. These new notions should allow the design of new circle recognition algorithms.

留戀

Connectedness of Offset Digitizations in Higher DimensionsOur considerations apply to digitizations of arbitrary path-connected sets in an arbitrary dimension .. Corollaries are derived for the important special case of surfaces, as well as for offsets of disconnected sets.

復(fù)習(xí)

Online Tessellation Automaton Recognizing Various Classes of Convex Polyominoesil by De Carli et al. In this paper we define 2D polyomino online tessellation automaton to recognize a class of polyominoes and prove that the family of various classes of polyominoes recognized by tiling systems and 2D-polyomino online tessellation automata coincide. We also study the recognizability of convex polyominoes by domino systems.

參考書目

Fast Automatic Microstructural Segmentation of Ferrous Alloy Samples Using Optimum-Path Forestodular, gray and malleable cast irons are segmented using OPF, and Support Vector Machines (SVM) with Radial Basis Function and SVM without kernel mapping. Results show accurate and fast segmented images, in which OPF outperformed SVMs. Our work is the first into applying OPF for automatic cast iron segmentation.