Morphology for Three-Dimensional Image Processing (Revised Version)

Abstract

Morphology is one of the important and basic tools for image processing. Its mathematical operation is in general defined in multi-dimensional space and therefore it can be applied to three-dimensional CT and MR images. In this article, morphological methods for segmentation, detection of lung cancers, analysis of pulmonary vascular tree structure, and shape-based interpolation are introduced. Computational load is another important factor in applying mathematical morphology. Fast algorithms are also introduced.