Ridge Ow Models for Image Segmentation

@inproceedings{PizerUniversity1993RidgeOM,
  title={Ridge Ow Models for Image Segmentation},
  author={Stephen M. PizerUniversity},
  year={1993}
}
  • Stephen M. PizerUniversity
  • Published 1993
In this paper we introduce a new algorithm for segmentation of medical images of any dimension. The segmentation is based on geometric methods and multiscale analysis. A sequence of increasingly blurred images is created by Gaussian blurring. Each blurred image is segmented by locating its ridges, decomposing the ridges into curvilinear segments and assigning a unique label to each, and constructing a region for each ridge segment based on a ow model which uses vector elds naturally associated… CONTINUE READING

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The Laplacian pyramid as a compact code," IEEE Trans

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