Thinning Methodologies-A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Voronoi diagrams of polygons: a framework for shape representation
Journal of Mathematical Imaging and Vision
Sparse Pixel Vectorization: An Algorithm and Its Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
EGRW '02 Proceedings of the 13th Eurographics workshop on Rendering
Learning style translation for the lines of a drawing
ACM Transactions on Graphics (TOG)
A Really Useful Vectorization Algorithm
GREC '99 Selected Papers from the Third International Workshop on Graphics Recognition, Recent Advances
Piecewise Linear Skeletonization Using Principal Curves
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vectorizing Cartoon Animations
IEEE Transactions on Visualization and Computer Graphics
Stroke extraction in cartoon images using edge-enhanced isotropic nonlinear filter
Proceedings of the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry
Stroke extraction and classification for mesh inflation
Proceedings of the Seventh Sketch-Based Interfaces and Modeling Symposium
| Hi-index | 0.00 |
This paper presents a new automatic algorithm for extracting vector information from raster images. The algorithm extracts structural information from the lines that is formatted to allow easy processing and evaluation of the image structure. Vectorization results are comparable with commonly used algorithms, however the outlined method differs from prior work by providing information in a more accessible form. This algorithm provides topological information at the cost of visual fidelity. Properties such as line topology and width are important for image processing, including object decomposition, author recognition and line style modification.