Abstract:
A fundamental problem in image processing is
image segmentation. The conventional image
segmentation methods, to some extent, all suffer from
the problem of inaccurate segmentation. A slightly
easier and more approachable problem, interactive
segmentation, has also received a lot of attentions over
the years. In this paper, we propose a fast and simple
interactive image segmentation technique. This
segmentation process is conducted in two modules.
First, the original image is detected by canny edge
detection method. Second, the object ofinterest is
segmented by using the region merging based on
maximal similarity. In this work, color feature is used
to measure the closeness between two regions and
accordingly the label of the unmarked region is
decided. The proposed method extracts the object from
the complex background in the image. The
effectiveness of the proposed method is validated by
experimental results and compared with other method.
