TY - GEN
T1 - Possibilistic clustering of generic shapes derived from templates
AU - Wang, Tsaipei
PY - 2008
Y1 - 2008
N2 - We present in this paper a new type of alternating-optimization based possibilistic c-shell algorithm for clustering template-based shapes. A cluster prototype consists of a copy of the template after translation, scaling, rotation, and/or affine transformations. We use a number of two-dimensional data sets, both synthetic and from real-world images, to illustrate the capability of our algorithm in detecting generic template-based shapes in images. We also describe a progressive clustering procedure aimed to relax the requirements of known number of clusters and good initialization.
AB - We present in this paper a new type of alternating-optimization based possibilistic c-shell algorithm for clustering template-based shapes. A cluster prototype consists of a copy of the template after translation, scaling, rotation, and/or affine transformations. We use a number of two-dimensional data sets, both synthetic and from real-world images, to illustrate the capability of our algorithm in detecting generic template-based shapes in images. We also describe a progressive clustering procedure aimed to relax the requirements of known number of clusters and good initialization.
UR - http://www.scopus.com/inward/record.url?scp=55249100012&partnerID=8YFLogxK
U2 - 10.1109/FUZZY.2008.4630603
DO - 10.1109/FUZZY.2008.4630603
M3 - Conference contribution
AN - SCOPUS:55249100012
SN - 9781424418190
T3 - IEEE International Conference on Fuzzy Systems
SP - 1721
EP - 1728
BT - 2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008
T2 - 2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008
Y2 - 1 June 2008 through 6 June 2008
ER -