Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/57233
Type: | Conference paper |
Title: | Image segmentation using minimal graph cuts |
Author: | Eriksson, A. Barr, O. Astrom, K. |
Citation: | SSBA 2006: Swedish Symposium on Image Analysis, Umea, Sweden, March, 2006. |
Publisher: | Lund University |
Publisher Place: | Lund |
Issue Date: | 2006 |
Conference Name: | Swedish Symposium on Image Analysis (2006 : Umea, Sweden) |
Statement of Responsibility: | Anders P. Eriksson, Olof Barr and Kalle Astrom |
Abstract: | We present a novel technique for simultaneous segmentaion and classification of image partitions using graph cuts. By combining existing image segmentation approaches with simple learning techniques we manage to include prior knowledge into this visual grouping process. This has resulted in a method that partitions images into two parts based on previously seen example segmentations. Prelimininary results are also presented in support of our suggested approach. |
Description (link): | http://www.maths.lth.se/vision/publications/publications/view_paper.php?paper_id=303 |
Appears in Collections: | Aurora harvest Computer Science publications |
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