Color Remote-sensing Image Segmentation Based on Improved Region Filter

Abstract

High resolution remote-sensing images provide abundant color, shape structure and texture information. However, region-based segmentations do not allow to fully exploit the richness of this kind of images. Despite the enormous progress in the analysis of remote sensing imagery over the past three decades, there is a lack of guidance on how to select an image segmentation algorithm suitable for the image type and size. In accordance with the characteristics of color high-resolution remote sensing images, we put forward an improved region filter remote-sensing color-image segmentation algorithm based on traditional JSEG segmentation. In order to well describe the color homogeneity in region, the local homogeneity matrix can be adopted to correct the local value in traditional JSEG segmentation algorithm so as to accurately reflect the boundary region and enhance the accuracy of image segmentation. Simulation experiment results demonstrate that our proposed algorithm can efficiently overcome the inaccurate segmentation of boundary region. In addition, compared with the traditional filter algorithm, our proposed algorithm can extract weak edge more accurately so as to achieve the better segmentation result in high resolution remote-sensing image segmentation