Color Blob Segmentation by MSER Analysis
| Autor: | Mario Wiltsche, Horst Bischof, Michael Donoser |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Maximally stable extremal regions
Segmentation-based object categorization business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Scale-space segmentation Pattern recognition Image segmentation Image texture Region growing Computer vision Artificial intelligence Range segmentation business Connected-component labeling Mathematics |
| Zdroj: | ICIP TU Graz |
| DOI: | 10.1109/icip.2006.312422 |
| Popis: | This paper presents an efficient color blob segmentation concept, which combines an ordering relationship based on analyzing Bhattacharyya distances with a modified version of the maximally stable extremal region (MSER) detector. After definition of the region-of-interest by a one-time user input, connected regions are detected within the input image with low computational effort. Single image and video sequence analysis results are presented, which prove the applicability of the concept. Additionally, the possible extension to 3D segmentation is shown by an application that analyzes the 3D microstructure of a sheet of paper. |
| Databáze: | OpenAIRE |
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