Abstract:
Fully automatic image segmentation is a
difficult task for natural images because of many
variations ascontrast and complex background.
Conventional segmentation methods require a
considerable amount of interactive guidance by the
user to attain satisfactory results. Moreover, the most
subsequent tasks as object detection and image
analyzing application highlydepend on the accurate
and useful segmented result. Therefore, in this paper,
an automatic image segmentation method for natural
images is proposed. The proposed system includes
three approaches: gradient computation with the
modified LoG edge filter, marker-controlled watershed
segmentation(MCWS) with automatically marker
selection and region mergingapproach that is based on
edge strength and homogeneous intensity. The system
can not only efficiently reduce the significant over
segmentation problem of watershed algorithm and but
also produce the correct and meaningful segmented
imagesIt purposes better performance of segmented
images for image annotation, objects detection, image
analyzing task and computer vision.
