Title :
Color Blob Segmentation by MSER Analysis
Author :
Donoser, Michael ; Bischof, H. ; Wiltsche, M.
Author_Institution :
Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Austria
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.
Keywords :
image colour analysis; image segmentation; image sequences; video signal processing; 3D microstructure; Bhattacharyya distances; MSER detector; color blob segmentation; maximally stable extremal region; video sequence analysis; Computer graphics; Computer vision; Detectors; Image analysis; Image color analysis; Image segmentation; Microstructure; Paper technology; Sprites (computer); Video sequences; Color; Image Segmentation;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.312422
