2008
@article{WSS2008,
vgclass = {refpap},
author = {Yi-Ta Wu and Frank Y. Shih and Jiazheng Shi and Yih-Tyng
Wu},
title = {A top-down region dividing approach for image
segmentation},
journal = {Pattern Recognition},
volume = {41},
number = {6},
pages = {1948--1960},
month = {June},
year = {2008},
url = {http://dx.doi.org/10.1016/j.patcog.2007.11.020},
abstract = {Histogram-based and region-based segmentation approaches
have been widely used in image segmentation. Difficulties arise when we
use these techniques, such as the selection of a proper threshold value
for the histogram-based technique and the over-segmentation followed by
the time-consuming merge processing for the region-based technique. To
provide efficient algorithms that not only produce better segmentation
results but also maintain low computational complexity, a novel
top-down region dividing based approach is developed for image
segmentation, which combines the advantages of both histogram-based and
region-based approaches. Experimental results show that our algorithm
can efficiently perform image segmentation without distorting the
spatial structure of an image. Furthermore, two potential applications
in medical image analysis are presented to show the advantages of using
the proposed algorithm.},
}