Abstract:
Interactive image segmentation has many
applications in image processing, computer
vision, computer graphics and medical image
analysis. In medical applications, image
segmentation is a fundamental process in most
systems that support medical diagnosis, surgical
planning and treatments. In many editing tasks,
the aim is to separate a foreground object from
its background. Therefore, we propose a fast and
simple interactive image segmentation technique
in this paper. The proposed method
automatically merges the regions that are
initially segmented by mean shift segmentation,
and then effectively extracts the object contour
by labeling all the non-marker regions as either
background or object. Moreover, many
experiments are tested and the results show that
the proposed method is faster than the existing
method. Therefore, the proposed method is
effective and can quickly and accurately segment
for both medical and natural scene images with ease.
