ABSTRACT
ABSTRACT: Gradient threshold computation is usually necessary for detecting boundary surfaces from 3D images, but it is a complex problem. Inspired by the adaptive contrast detection mechanism of human vision, a method is proposed to compute local gradient thresholds in 3D images. By such local gradient thresholds, visible boundaries in many different 3D images can be adaptively detected and well reconstructed. Experimental results show the effectiveness of the proposed method.
