Color Blob Segmentation by MSER Analysis

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.

• Type: Conference
• Year: 2006
• Where: ICIP
• Authors: Michael Donoser, Horst Bischof, Mario Wiltsche
• Keywords: Blob Segmentation Concept, ICIP 2006, Image Processing, Low Computational Effort, One-time User Input, Stable Extremal Region