This paper proposes an unsupervised color–texture image segmentation method. In order to
enhance the effects of segmentation, a new color–texture descriptor is designed by …

This paper proposes an unsupervised variational segmentation approach of color–texture
images. To improve the description ability, the compact multi-scale structure tensor, total …

In this paper, we propose an interactive color natural image segmentation method. The
method integrates color feature with multiscale nonlinear structure tensor texture (MSNST) …

This paper proposes a new method for color–texture segmentation based on a splitting
framework with graph cut technique. To process the scale difference of quaternion Gabor …

This paper proposes a novel approach to color–texture segmentation based on graph cut
techniques, which finds an optimal color–texture segmentation of a color textured image by …

We propose a novel approach to implement robust unsupervised color image content
understanding approach that segments a color image into its constituent parts automatically …

This paper proposes a novel texture segmentation approach using independent-scale
component-wise Riemannian-covariance Gaussian mixture model (ICRGMM) in Kullback …

Image segmentation partitions an image into nonoverlapping regions, which ideally should
be meaningful for a certain purpose. Automatic segmentation of images is a very …

We study a novel fuzzy clustering method to improve the segmentation performance on the
target texture image by leveraging the knowledge from a prior texture image. Two …

The grayscale co-occurrence matrix (GLCM) can be adapted to segment the image
according to the pixels, but the segmentation effect becomes worse as the number of …