Back to Search
Start Over
A parallel thinning algorithm based on stroke continuity detection
- Source :
- Signal, Image and Video Processing. 11:873-879
- Publication Year :
- 2016
- Publisher :
- Springer Science and Business Media LLC, 2016.
-
Abstract
- Thinning algorithms often cause stroke distortions at the crosses or intersections of strokes, which lead to bad results in pattern recognition tasks. In order to overcome these drawbacks, this paper proposes a parallel thinning algorithm based on stroke continuity detection. In the algorithm, before it uses the conditions of parallel algorithms to delete a boundary point, it first detects whether the boundary point is a reserved point to keep stroke’s continuity or not. Consequently, it can produce a skeleton with good symmetry, control the large deformation at the cross or intersection of strokes, and make a better skeleton more quickly. Moreover, it is practically immune to noise.
- Subjects :
- ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Parallel algorithm
020206 networking & telecommunications
02 engineering and technology
ComputingMethodologies_PATTERNRECOGNITION
Intersection
Signal Processing
Pattern recognition (psychology)
0202 electrical engineering, electronic engineering, information engineering
Thinning algorithm
020201 artificial intelligence & image processing
Point (geometry)
Stroke (engine)
Noise (video)
Electrical and Electronic Engineering
Symmetry (geometry)
Algorithm
ComputingMethodologies_COMPUTERGRAPHICS
Mathematics
Subjects
Details
- ISSN :
- 18631711 and 18631703
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Signal, Image and Video Processing
- Accession number :
- edsair.doi...........ccb5d134207b3f0b8247d808025bf5d0