Book chapter
Multi-scale Opening – A New Morphological Operator
Image Analysis and Processing — ICIAP 2015, pp.417-427
Lecture Notes in Computer Science, Springer International Publishing
08/21/2015
DOI: 10.1007/978-3-319-23234-8_39
Abstract
Theoretical properties of multi-scale opening (MSO), a new mathematical morphological operator, are established and its application to separation of conjoined fuzzy objects is presented. The new MSO operator accounts for distinct intensity properties of individual objects inside the assembly of two conjoined fuzzy objects by combining fuzzy distance transform (FDT), a morphologic feature, with fuzzy connectivity, a topologic feature, to iteratively open two objects starting at large scales and progressing toward finer scales. Results of application of the new mathematical morphological operator to separate conjoined arterial structures in mathematically generated phantoms and for segmentation of arteries and veins in a physical cast phantom of a pig lung are presented. Performance of the MSO operator is also evaluated in terms of patients’ pulmonary non-contrast CT data for separating arteries and veins and for complete carotid vascular segmentation for patient’s CTA data set.
Details
- Title: Subtitle
- Multi-scale Opening – A New Morphological Operator
- Creators
- Subhadip Basu - Jadavpur UniversityEric Hoffman - University of IowaPunam K Saha - University of Iowa
- Resource Type
- Book chapter
- Publication Details
- Image Analysis and Processing — ICIAP 2015, pp.417-427
- Publisher
- Springer International Publishing; Cham
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/978-3-319-23234-8_39
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Language
- English
- Date published
- 08/21/2015
- Academic Unit
- Radiology; Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering; Internal Medicine
- Record Identifier
- 9984197227002771
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