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CAIP
2001
Springer

A New Approach for Model-Based Adaptive Region Growing in Medical Image Analysis

10 years 8 months ago
A New Approach for Model-Based Adaptive Region Growing in Medical Image Analysis
Abstract. Interaction increases flexibility of segmentation but it leads to undesirable behaviour of an algorithm if knowledge being requested is inappropriate. In region growing, this is the case for defining the homogeneity criterion as its specification depends also on image formation properties that are not known to the user. We developed a region growing algorithm that learns its homogeneity criterion automatically from characteristics of the region to be segmented. It produces results that are only little sensitive to the seed point location and it allows a segmentation of individual structures. The method was successfully tested on artificial images and on CT images.
Regina Pohle, Klaus D. Tönnies
Added 28 Jul 2010
Updated 28 Jul 2010
Type Conference
Year 2001
Where CAIP
Authors Regina Pohle, Klaus D. Tönnies
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