The image foresting transform: theory, algorithms, and applications.
other · Level V
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Abstract
The image foresting transform (IFT) is a graph-based approach to the design of image processing operators based on connectivity. It naturally leads to correct and efficient implementations and to a better understanding of how different operators relate to each other. We give here a precise definition of the IFT, and a procedure to compute it-a generalization of Dijkstra's algorithm-with a proof of correctness. We also discuss implementation issues and illustrate the use of the IFT in a few applications.
Medical subject headings
- Algorithms
- Image Interpretation, Computer-Assisted
- Imaging, Three-Dimensional
- Information Storage and Retrieval
- Pattern Recognition, Automated
- Signal Processing, Computer-Assisted
- Subtraction Technique