TY - GEN
T1 - Unsupervised image segmentation using comparative reasoning and random walks
AU - Kulkarni, Anuva
AU - Condessa, Filipe
AU - Kovacevic, Jelena
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/2/23
Y1 - 2016/2/23
N2 - An image segmentation method that does not need training data can provide faster results than methods using complex optimization. Motivated by this idea, we present an unsupervised image segmentation method that combines comparative reasoning with graph-based clustering. Comparative reasoning enables fast similarity search on the image, and these search results are used with the Random Walks algorithm, which is used for clustering and calculating class probabilities. Our method is validated on diverse image modalities such as biomedical images, natural images and texture images. The performance of the method is measured through cluster purity based on available ground truth. Our results are compared to existing segmentation methods using Global Consistency Error scores.
AB - An image segmentation method that does not need training data can provide faster results than methods using complex optimization. Motivated by this idea, we present an unsupervised image segmentation method that combines comparative reasoning with graph-based clustering. Comparative reasoning enables fast similarity search on the image, and these search results are used with the Random Walks algorithm, which is used for clustering and calculating class probabilities. Our method is validated on diverse image modalities such as biomedical images, natural images and texture images. The performance of the method is measured through cluster purity based on available ground truth. Our results are compared to existing segmentation methods using Global Consistency Error scores.
KW - Random Walks
KW - Unsupervised image segmentation
KW - Winner Take All hash
KW - comparative reasoning
KW - hashing
UR - http://www.scopus.com/inward/record.url?scp=84964746660&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84964746660&partnerID=8YFLogxK
U2 - 10.1109/GlobalSIP.2015.7418213
DO - 10.1109/GlobalSIP.2015.7418213
M3 - Conference contribution
AN - SCOPUS:84964746660
T3 - 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
SP - 338
EP - 342
BT - 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
Y2 - 13 December 2015 through 16 December 2015
ER -