Bi-directional segmentation from the color image sequence for in-vivo visualization

Applying the LDA to the Region-Growing

Abstract

The new observation system called 3D-ISM has been developed in recent years. This system allows filming the in-vivo full-color images. The optimal segmentation technique, however, has not been established yet. We have proposed the segmentation method getting rid of an arbitrary condition or threshold in a Region-growing method so far. In this report, we present an interactive bi-directional segmentation method applying a Linear Discriminant Analysis to the Region-growing. As a result, it succeeded in extracting the crystalline lens from continuous cross-sectional images of the human eyeball, by combining two kinds of area distinction results, and also succeeded in visualization for the 3-dimensional crystalline lens.