Edge-region integration for segmentation of MR images
Author(s) -
GJ Brelstaff,
M. Ibison,
Peter J. Elliott
Publication year - 1990
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5244/c.4.26
Subject(s) - segmentation , artificial intelligence , computer vision , computer science , scheme (mathematics) , image segmentation , enhanced data rates for gsm evolution , edge detection , detector , scale space segmentation , process (computing) , parametric statistics , pattern recognition (psychology) , image (mathematics) , image processing , mathematics , telecommunications , mathematical analysis , statistics , operating system
A data-driven segmentation scheme is described that integrates edges and smooth regions. Edges are detected first and then used to guide the action of a dualresolution agglomeratine •parametric region detector. The scheme is applied to a variety of MR images. A comparison is made of segmentations produced by the scheme and by medical experts. The results are better than those obtained from the edge detection process alone.
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