An Scene Image Segmentation by the Human Visual Sense and the Achromatic Color

Abstract

An image segmentation is an important subject for an image recognition. In this paper, we propose a new image segmentation method for scene images. The proposed segmentation method classifies images into several segments without using the Euclidian distance. We calculate the histograms of the image for each component of HSI color space, and obtain three results of the image segmentation from each histogram. We consider the achromatic colors to decrease the number of regions. We compare the results of the proposed and the k-means methods in order to show the effectiveness of the proposed method.