An image algorithm for computing the Hausdorff distance efficiently in linear time
Information Processing Letters
Computing the Hausdorff set distance in linear time for any Lp point distance
Information Processing Letters
Parallel computation of the Hausdorff distance between images
Parallel Computing
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active Tracking Based on Hausdorff Matching
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
A robust and real-time texture analysis system using a distributed workstation cluster
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
Object matching algorithms using robust Hausdorff distance measures
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
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A new parallel algorithm to compute Euclidean metric-based Hausdorff distance measures between binary images (typically edge maps) is proposed in this paper. The algorithm has a running time of O(n) for images of size n × n. Further, the algorithm has the following features: (i) simple arithmetic (ii) identical computations at each pixel and (iii) computations using a small neighborhood for each pixel. An efficient cellular architecture for implementing the proposed algorithm is presented. Results of implementation using field-programmable gate arrays show that the measures can be computed for approximately 88000 image pairs of size 128×128 in a second. This result is valuable for real-time applications like object tracking and video surveillance.