The Vectorial Minimum Barrier Distance
2012 (English)In: International Conference on Pattern Recognition, ISSN 1051-4651, 792-795 p.Article in journal, Meeting abstract (Refereed) Published
We introduce the vectorial Minimum Barrier Distance (MBD), a method for computing a gray-weighted distance transform while also incorporating information from vectorial data. Compared to other similar tools that use vectorial data, the proposed method requires no training and does not assume having only one background class. We describe a region growing algorithm for computing the vectorial MBD efficiently.
The method is evaluated on two types of multi-channel images: color images and textural features. Different path-cost functions for calculating the multi-dimensional path-cost distance are also compared.
The results show that by combining multi-channel images into vectorial information the performance ofthe vectorial MBD segmentation is improved compared to when one channel is used. This implies that the method can be a good way of incorporating multi-channel information in interactive segmentation.
Place, publisher, year, edition, pages
2012. 792-795 p.
Medical Image Processing
Research subject Computerized Image Processing
IdentifiersURN: urn:nbn:se:uu:diva-190013ISBN: 978-1-4673-2216-4OAI: oai:DiVA.org:uu-190013DiVA: diva2:582815
International Conference on Pattern Recognition, 2012