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Technical Program
Paper Detail
| Paper: | MP-P1.4 |
| Session: | Edge Detection and Image Segmentation |
| Time: | Monday, October 9, 14:20 - 17:00 |
| Presentation: |
Poster
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| Title: |
COLOR BLOB SEGMENTATION BY MSER ANALYSIS |
| Authors: |
Michael Donoser; Graz University of Technology | | | | | Horst Bischof; Graz University of Technology | | | | | Mario Wiltsche; Graz University of Technology | | |
| Abstract: |
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. |
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