  In this article a novel algorithm for color image segmentation has been
developed. The proposed algorithm based on combining two existing methods in
such a novel way to obtain a significant method to partition the color image
into significant regions. On the first phase, the traditional Otsu method for
gray channel image segmentation were applied for each of the R,G, and B
channels separately to determine the suitable automatic threshold for each
channel. After that, the new modified channels are integrated again to
formulate a new color image. The resulted image suffers from some kind of
distortion. To get rid of this distortion, the second phase is arise which is
the median filter to smooth the image and increase the segmented regions. This
process looks very significant by the ocular eye. Experimental results were
presented on a variety of test images to support the proposed algorithm.
