Journal article
Paradigm for shape-based image analysis
Optical Engineering, Vol.37(2), pp.570-581
1998
DOI: 10.1117/1.601857
Abstract
Traditional image segmentation techniques typically divide an image into separate regions based on gray-scale characteristics. Most real-world image-segmentation problems, however, require some subsequent shape-based processing to yield acceptable results. Unfortunately, choosing an appropriate sequence of image-processing operators (a process) for this purpose can be a time-consuming, tedious procedure that requires considerable image-processing expertise. We describe a semiautomatic paradigm for selecting shape-based operations for an image-analysis process. Desired shape information for image regions is provided by the user in the form of easily specified cues. The cues are then automatically interpreted to select suitable image-processing operators and operator parameters; the operators can be morphological, topological, and image-manipulation functions. The paradigm, hence, enables easy prototyping of image-analysis processes for different problems. The user is not required to be an image-processing expert to apply this strategy-he or she need only be able to specify the desired shape properties of the regions in the image. We demonstrate our approach for both 2-D and 3-D image analysis problems. ©
Details
- Title: Subtitle
- Paradigm for shape-based image analysis
- Creators
- Joseph M Reinhardt - University of IowaWilliam E Higgins - Pennsylvania State University
- Resource Type
- Journal article
- Publication Details
- Optical Engineering, Vol.37(2), pp.570-581
- DOI
- 10.1117/1.601857
- ISSN
- 0091-3286
- eISSN
- 1560-2303
- Language
- English
- Date published
- 1998
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology
- Record Identifier
- 9984197128902771
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