0000000001101018

AUTHOR

David Rivest-hénault

showing 1 related works from this author

Efficient Multi-scale Patch-Based Segmentation

2015

The objective of this paper is to devise an efficient and accurate patch-based method for image segmentation. The method presented in this paper builds on the work of Wu et al. [14] with the introduction of a compact multi-scale feature representation and heuristics to speed up the process. A smaller patch representation along with hierarchical pruning allowed the inclusion of more prior knowledge, resulting in a more accurate segmentation. We also propose an intuitive way of optimizing the search strategy to find similar voxel, making the method computationally efficient. An additional approach at improving the speed was explored with the integration of our method with Optimised PatchMatch…

Computer scienceFeature (computer vision)Segmentation-based object categorizationbusiness.industryFeature vectorScale-space segmentationPattern recognitionSegmentationPruning (decision trees)Image segmentationArtificial intelligencebusinessHeuristics
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