Title :
Unsupervised image segmentation using the modified pyramidal linking approach
Author :
Ziliani, Franceso ; Jensen, Björn
Author_Institution :
Signal Process. Lab., Fed. Inst. of Technol., Lausanne, Switzerland
Abstract :
As image segmentation is one of the first steps in image processing, little knowledge about the image content is available. The modified pyramidal linking approach presented here is intended as a low-level process for segmentation without any a priori information or user-defined thresholds. The process works with multiple features which are weighted according to their information content. The number of extracted regions is automatically determined by the process itself
Keywords :
feature extraction; image segmentation; image sequences; unsupervised learning; extracted regions; image content; image processing; information content; low-level process; modified pyramidal linking approach; multiple features; unsupervised image segmentation; Data mining; Image processing; Image segmentation; Joining processes; Laboratories; Layout; Merging; Pixel; Signal processing; Video sequences;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.999020