Title :
Video-rate image segmentation by means of region splitting and merging
Author :
Aneja, Kanur ; Laguzet, Florence ; Lacassagne, Lionel ; Merigot, Alain
Author_Institution :
Inst. for Fundamental Electron., Univ. of Paris South, Orsay, France
Abstract :
This paper proposes a fast method for image segmentation. After an optimal split of the image into rectangular regions, this paper focuses on the fast merging of these regions. Since the computation time is very small, hence it is suitable for real time applications, while producing a good segmentation for tracking purposes.
Keywords :
image segmentation; tracking; video signal processing; region merging; region splitting; tracking purposes; video-rate image segmentation; Binary trees; Image color analysis; Image processing; Image segmentation; Image texture analysis; Iterative algorithms; Merging; Pixel; Signal processing; Tree data structures;
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-5560-7
DOI :
10.1109/ICSIPA.2009.5478693
