A multiphase logic framework for multichannel image segmentation
| Autor: | Tony F. Chan, Matthew S. Keegan, Berta Sandberg |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Control and Optimization
Theoretical computer science Computer science Segmentation-based object categorization business.industry Scale-space segmentation Image segmentation Image (mathematics) Maxima and minima Modeling and Simulation Discrete Mathematics and Combinatorics Pharmacology (medical) Segmentation Computer vision Artificial intelligence business Analysis Energy (signal processing) Communication channel |
| Zdroj: | Inverse Problems & Imaging. 6:95-110 |
| ISSN: | 1930-8345 |
| DOI: | 10.3934/ipi.2012.6.95 |
| Popis: | We propose a novel framework for energy-based multiphase segmentation over multiple channels. The framework allows the user to combine the information from each channel as the user sees fit, and thus allows the user to define how the information from each channel should influence the result. The framework extends the two-phase Logic Framework [J. Vis. Commun. Image R. 16 (2005) 333-358] model. The logic operators of the Logic Framework are used to define objective functions for multiple phases and a condition is defined that prevents conflict between energy terms. This condition prevents local minima that may occur using ad hoc methods, such as summing the objective functions of each region. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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