Interpolation of 3-D binary images based on morphological skeletonization

Author

Chatzis, Vassilios ; Pitas, Ioannis

Author_Institution

Dept. of Inf., Aristotelian Univ. of Thessaloniki, Greece

Volume

19

Issue

7

fYear

2000

fDate

7/1/2000 12:00:00 AM

Firstpage

699

Lastpage

710

Abstract

The morphological skeleton interpolation (MSI) algorithm is presented. It is an efficient, shape-based interpolation method used for interpolating slices in a three-dimensional (3-D) binary object. It is based on morphological skeletonization, which is used for two-dimensional (2-D) slice representation. The proposed morphological skeleton matching process provides translation, rotation, and scaling information at the same time. The interpolated slices preserve the shape of the original object slices, when the slices have similar shapes. It can also modify the shape of an object when the successive slices do not have similar shapes. Applications on artificial and real data are also presented.

Keywords

image thinning; interpolation; mathematical morphology; medical image processing; 3-D binary images interpolation; artificial data; efficient shape-based interpolation method; medical diagnostic imaging; morphological skeleton interpolation algorithm; morphological skeletonization; original object slices shape preservation; real data; rotation; scaling information; slices interpolation; translation; Biomedical imaging; Gray-scale; Interpolation; Morphology; Radioactive decay; Shape; Skeleton; Two dimensional displays; Ultrasonic imaging; X-rays; Algorithms; Humans; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Tooth;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/42.875192

Filename

875192