The image processing improves the accuracy and stability from traditional single clustering based algorithm. In the paper, we design a novel image partition algorithm, called Cluster Ensemble ...

Abstract: In this letter, we propose a fast superpixel-based clustering algorithm (FSC) for synthetic aperture radar (SAR) image segmentation. First, the SAR image is over-segmented into superpixels ...

Image segmentation by clustering is a process of dividing an image into multiple meaningful regions based on the similarity of pixels. Clustering algorithms group pixels with similar attributes into ...

In this work we present a general unsupervised image segmentation technique based on earlier proposed super-pixel ... from an input color image using simple linear iterative clustering (SLIC) ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...

Based on the above problems, this study proposes a method based on an unsupervised clustering ... level image contrast is not strong, which brings difficulty to image segmentation. Based on the ...