Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Graphical Models and Image Processing
The watershed transform: definitions, algorithms and parallelization strategies
Fundamenta Informaticae - Special issue on mathematical morphology
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handwritten Character Recognition using the Continuous Distance Transformation
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Directed Exploration Using a Modified Distance Transform
DICTA '05 Proceedings of the Digital Image Computing on Techniques and Applications
A charged active contour based on electrostatics
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
AddCanny: edge detector for video processing
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
| Hi-index | 0.01 |
A straightforward algorithm that computes distance maps from unthresholded magnitudes is presented, suitable for still images and video sequences. While results on binary images are similar to classic Euclidean Distance Transforms, the proposed approach does not require a binarization step. Thus, no thresholds are needed and no information is lost in intermediate classification stages. Experiments include the evaluation of spatial and temporal coherence of distance map values, showing better results in both measurements than those obtained with Sobel or Deriche gradients and classic chessboard distance transforms.