TY - JOUR
T1 - Multi-Phase Texture Segmentation Using Gabor Features Histograms Based on Wasserstein Distance
AU - Motong Qiao, Wei Wang & Michael Ng
JO - Communications in Computational Physics
VL - 5
SP - 1480
EP - 1500
PY - 2014
DA - 2014/05
SN - 15
DO - http://doi.org/10.4208/cicp.061212.111013a
UR - https://global-sci.org/intro/article_detail/cicp/7146.html
KW - 
AB - <p style="text-align: justify;">We present a multi-phase image segmentation method based on the histogram of the Gabor feature space, which consists of a set of Gabor-filter responses
with various orientations, scales and frequencies. Our model replaces the error function term in the original fuzzy region competition model with squared 2-Wasserstein
distance function, which is a metric to measure the distance of two histograms. The
energy functional is minimized by alternative minimization method and the existence
of closed-form solutions is guaranteed when the exponent of the fuzzy membership
term being 1 or 2. We test our model on both simple synthetic texture images and
complex natural images with two or more phases. Experimental results are shown
and compared to other recent results.</p>