%0 Journal Article
	%A Wan-Ting Lin and  Chuen-Horng Lin and  Tsung-Ho Wu and  Yung-Kuan Chan
	%D 2010
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 41, 2010
	%T Image Segmentation Using the K-means Algorithm for Texture Features
	%U https://publications.waset.org/pdf/8719
	%V 41
	%X This study aims to segment objects using the K-means
algorithm for texture features. Firstly, the algorithm transforms color
images into gray images. This paper describes a novel technique for
the extraction of texture features in an image. Then, in a group of
similar features, objects and backgrounds are differentiated by using
the K-means algorithm. Finally, this paper proposes a new object
segmentation algorithm using the morphological technique. The
experiments described include the segmentation of single and multiple
objects featured in this paper. The region of an object can be
accurately segmented out. The results can help to perform image
retrieval and analyze features of an object, as are shown in this paper.
	%P 945 - 948