期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2013
卷号：4
期号：4
页码：647-652
出版社：Technopark Publications
摘要：Image segmentation plays a significant role in computer vision. It aims at extracting meaningful objects lying in the image. Generally there is no unique method or approach for image segmentation. In this paper, a simple algorithm for detecting the range and shape of objects in images is described. This image is visually examined for detection and analysis of object. To avoid that, this paper uses computer aided method for segmentation (detection) of objects based on the combination of two algorithms. This method allows the segmentation of objects with accuracy and reproducibility comparable to manual segmentation. In addition, it also reduces the time for analysis. At the end of the process the object is extracted from the image and its exact position and the shape also determined. The object is analyzed based on the amount of area calculated from the cluster. The key concept in this color-based segmentation algorithm with K-means is to convert a given color space image into a gray scale space image and then separate the position of objects from other items of an image by using K-means clustering and histogram-clustering.
