Unsupervised image segmentation using lab color space

Image segmentation helps computer to understand visual information. A number of techniques are proposed for image segmentation that are either interactive or automatic. Interactive techniques provide satisfactory result but user interaction is the biggest limitation when large number of images are considered. On the other hand automatic image segmentation is difficult to acquire satisfactory results. We propose an unsupervised approach for automatic image segmentation that employ image color information to segment an image into foreground and background. The results confirm the effectiveness of the approach.