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.

• Type: Conference
• Year: 2001
• Where: CAIP
• Authors: Regina Pohle, Klaus D. Tönnies
• Keywords: CAIP 2001, Homogeneity Criterion, Image Analysis, Interaction Increases Flexibility, Region Growing