TY - GEN
T1 - Frames in bioimaging
AU - Chebira, Amina
AU - Kovačević, Jelena
PY - 2008
Y1 - 2008
N2 - We survey our work on adaptive multiresolution (MR) approaches to the classification of biological images. The system adds MR decomposition in front of a generic classifier consisting of feature computation and classification in each MR subspace, yielding local decisions, which are then combined into a global decision using a weighting algorithm. The system tested on different datasets (subcellular protein location images, drosophila embryo images and histological images images) gave very high accuracies. We hypothesize that the space-frequency localized information in the multiresolution subspaces adds significantly to the discriminative power of the system. Moreover, we show that a vastly reduced set of features is sufficient. Finally, we prove that frames are the class of MR techniques that performs the best in this context. This leads us to consider the construction of a new family of frames for classification, which we term lapped tight frame transforms.
AB - We survey our work on adaptive multiresolution (MR) approaches to the classification of biological images. The system adds MR decomposition in front of a generic classifier consisting of feature computation and classification in each MR subspace, yielding local decisions, which are then combined into a global decision using a weighting algorithm. The system tested on different datasets (subcellular protein location images, drosophila embryo images and histological images images) gave very high accuracies. We hypothesize that the space-frequency localized information in the multiresolution subspaces adds significantly to the discriminative power of the system. Moreover, we show that a vastly reduced set of features is sufficient. Finally, we prove that frames are the class of MR techniques that performs the best in this context. This leads us to consider the construction of a new family of frames for classification, which we term lapped tight frame transforms.
UR - http://www.scopus.com/inward/record.url?scp=51849093157&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51849093157&partnerID=8YFLogxK
U2 - 10.1109/CISS.2008.4558617
DO - 10.1109/CISS.2008.4558617
M3 - Conference contribution
AN - SCOPUS:51849093157
SN - 9781424422470
T3 - CISS 2008, The 42nd Annual Conference on Information Sciences and Systems
SP - 727
EP - 732
BT - CISS 2008, The 42nd Annual Conference on Information Sciences and Systems
T2 - CISS 2008, 42nd Annual Conference on Information Sciences and Systems
Y2 - 19 March 2008 through 21 March 2008
ER -