Book chapter
Path-Gradient – A Theory of Computing Full Intensity-Transition Between Two Points
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, pp.399-407
Lecture Notes in Computer Science, Springer International Publishing
02/04/2018
DOI: 10.1007/978-3-319-75193-1_48
Abstract
A major challenge for path-based segmentation methods is to select the optimum scale capturing the total intensity variation across object interfaces without losing small-scale structures. Minimum barrier distance (MBD) attempts to alleviate this issue using a unique path-cost function that computes the maximum intensity variation on the path. Two major concerns of MBD are related to high computational complexity and convoluted trajectory of the optimum path between two points on either side of an object interface limiting benefits of MBD. Here, we introduce the notion of path-gradient (PG) that exhibits similar behavior as MBD for object segmentation with significantly reduced computation. The formulation of PG allows the addition of a regularization term in path cost, which improves segmentation still at considerably reduced computation cost than regular MBD. Efficient algorithms for computing PG and regularized PG are presented and their segmentation performances are compared with that of MBD.
Details
- Title: Subtitle
- Path-Gradient – A Theory of Computing Full Intensity-Transition Between Two Points
- Creators
- Syed Ahmed Nadeem - University of IowaEric A Hoffman - University of IowaPunam K Saha - University of Iowa
- Resource Type
- Book chapter
- Publication Details
- Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, pp.399-407
- Publisher
- Springer International Publishing; Cham
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/978-3-319-75193-1_48
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Language
- English
- Date published
- 02/04/2018
- Academic Unit
- Internal Medicine; Radiology; Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering
- Record Identifier
- 9984197069302771
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