Image Labeling and Segmentation using Hierarchical Conditional Random Field Model
| Autor: | Manoj K. Vairalkar, Sonali Nimbhorkar |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
FOS: Computer and information sciences
Conditional random field Pixel business.industry Computer science Computer Vision and Pattern Recognition (cs.CV) Computer Science - Computer Vision and Pattern Recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Image (mathematics) Image labeling ComputingMethodologies_PATTERNRECOGNITION Computer Science::Computer Vision and Pattern Recognition Cluster (physics) Segmentation Artificial intelligence business Selection (genetic algorithm) |
| Zdroj: | International Journal of Computer Science and Information Technology. 3:207-214 |
| ISSN: | 0975-4660 |
| DOI: | 10.5121/ijcsit.2011.3616 |
| Popis: | The use of hierarchical Conditional Random Field model deal with the problem of labeling images . At the time of labeling a new image, selection of the nearest cluster and using the related CRF model to label this image. When one give input image, one first use the CRF model to get initial pixel labels then finding the cluster with most similar images. Then at last relabeling the input image by the CRF model associated with this cluster. This paper presents a approach to label and segment specific image having correct information. Comment: 08 pages, 6 figures |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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