ICIP 2006, Atlanta, GA

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Paper Detail

Session:Edge Detection and Image Segmentation
Time:Monday, October 9, 14:20 - 17:00
Presentation: Poster
Topic: Image & Video Segmentation: Edge or color segmentation
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.