Showing papers by "Michalis Zervakis published in 2003"

TL;DR: The state of the art in machine vision inspection and a critical overview of real-world applications are presented and two independent ways to classify applications are proposed.

TL;DR: A novel segmentation technique, the histogram-based adaptive local thresholding (HALT), which extracts the useful information from an image without being affected by the presence of other structures, is developed, which indicates that the proposed drusen detector gives reliable detection accuracy in both position and mass size.