A framework for the automatic annotation of car aesthetics
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
An unbiased algorithm for detection of curvilinear structures in urban remote sensing images
International Journal of Remote Sensing
Coronal loop detection from solar images
Pattern Recognition
Correcting bound document images based on automatic and robust curved text lines estimation
ICCPOL'06 Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead
| Hi-index | 0.00 |
In this paper, we present a new method for the detection of principal curves in complicated feature images. Based on the criteria of the shortest path of curves and directional deviation of paths, principal curve detection is carried out in graph domain. DFS searching scheme is adopted in exploration of a graph network. The motivation of this research is to find road boundaries and house contours from printed map images. By extensive experiments, the algorithm has shown good efficiency and robustness with real map images. The technique described in this paper can also be used in other applications, such as in character recognition, to separate characters from other unwanted document components that overlap with the characters.