Distance transformations in digital images
Computer Vision, Graphics, and Image Processing
Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiscale Identification of Building in Compressed Large Aerial Scenes
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Binary-image comparison with local-dissimilarity quantification
Pattern Recognition
A Non-symmetrical Method of Image Local-Difference Comparison for Ancient Impressions Dating
Graphics Recognition. Recent Advances and New Opportunities
Text search in document images based on Hausdorff distance measures
CompSysTech '08 Proceedings of the 9th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing
A new Hausdorff distance for image matching
Pattern Recognition Letters
Appropriate formulation of the objective function for the history matching of seismic attributes
Computers & Geosciences
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The Hausdorff distance between planar sets of points is known to be a good method to compare binary images. We present here a modification of this distance, called the censored Hausdorff distance. It allows robust comparisons of noisy binary images. The definition of the Voronoi surfaces is extended to this new distance, as well as the definition of the inclusion field. We then show that it is possible to localize a small binary pattern in an image.