Automatic Segmentation of Natural Scene Images Based on Chromatic and Achromatic Components

Abstract

This paper presents a simple method for segmenting text image on the basis of color components. It is shown how segmentation can benefit from splitting color signals into chromatic and achromatic components and separately smoothing them by proposed clustering method. We analyze and compare the performance of several color components in terms of segmentation of the text regions from color natural scenes. We also perform a fast 1-dimensional k- means clustering algorithm. Therefore we can perform accurate object segmentation using both H and I components. And then, the effectiveness and reliability of proposed method are demonstrated through various natural scene images. The experimental results have proven that the proposed method is effective.