Thinning Methodologies-A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Approximation of generalized Voronoi diagrams by ordinary Voronoi diagrams
CVGIP: Graphical Models and Image Processing
Veinerization: A New Shape Description for Flexible Skeletonization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Continuous Skeletons from Digitized Images
Journal of the ACM (JACM)
Proceedings of the Workshop on Geometry and Robotics
Graph Voronoi Regions for Interfacing Planar Graphs
ICCS '01 Proceedings of the International Conference on Computational Sciences-Part I
Morphological mesh filtering and α-objects
Pattern Recognition Letters
Segmentation of complex nucleus configurations in biological images
Pattern Recognition Letters
Generating realistic roofs over a rectilinear polygon
ISAAC'11 Proceedings of the 22nd international conference on Algorithms and Computation
A faster algorithm for computing motorcycle graphs
Proceedings of the twenty-ninth annual symposium on Computational geometry
Realistic roofs over a rectilinear polygon
Computational Geometry: Theory and Applications
| Hi-index | 0.14 |
One of the major goals of computer vision is the research and the development of flexible methods for shape description. A large group of shape description techniques is given by heuristic approaches, which yield acceptable results in the description of simple shapes and regions. In this case, objects are represented by a planar graph with nodes symbolizing subregions from region decomposition, and region shape is then described by the graph properties. In this paper, the Angular Bisector Network (ABN), a descriptor of polygonal shape, is used to automatically detect intersections between neurites of cell structures. Some properties of the ABN, such as linear algebraic complexity, easy extraction of characteristic points, etc., are very useful and experimental results are promising.