Color Image Segmentation
Yining Deng, B. S.
Manjunath and Hyundoo Shin*
Department of Electrical and Computer Engineering
University of California, Santa Barbara, CA 93106-9560
*Samsung Electronics Inc.
{deng, manj, hdshin}@iplab.ece.ucsb.edu
Abstract
In this work, a new
approach to fully automatic color
image segmentation, called JSEG, is presented. First, col-ors
in the image are quantized to several representing
classes that can be used to differentiate regions in the
image. Then, image pixel colors are replaced by their cor-responding
color class labels, thus forming a class-map of
the image. A criterion for ¢®¡Ægood¢®¡¾ segmentation using this
class-map is proposed. Applying the criterion to local win-dows
in the class-map results in the ¢®¡ÆJ-image¢®¡¾, in which
high and low values correspond to possible region bound-aries
and region centers, respectively. A region growing
method is then used to segment the image based on the
multi-scale J-images. Experiments show that JSEG pro-vides
good segmentation results on a variety of images.
