Abstract: We present a stochastic clustering algorithm which uses pairwise similarity of elements and show how it can be used to address various problems in computer vision, including the low-level ...

This project aims to introduce a new method of segmentation ... us to apply region based classification techniques like texture/colour classification and then use them to cluster the image and segment ...

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 ...

To address the current challenges in ancient mural image segmentation, an optimized method based on a superpixel algorithm is proposed in this study. First, the simple linear iterative clustering ...