Construction of a reliable graph capturing perceptual grouping cues of an image is
fundamental for graph-cut based image segmentation methods. In this paper, we propose a …

This article presents a multi-phase image segmentation methodology based on fuzzy
superpixel decomposition, aggregation and merging. First, a collection of layers of dense …

This paper proposes an affinity fusion graph framework to effectively connect different
graphs with highly discriminating power and nonlinearity for natural image segmentation …

Image segmentation is widely used as an initial phase of many image analysis tasks. It is
often advantageous to first group pixels into compact, edge-respecting superpixels, because …

Due to the high diversity of image data, image segmentation is still a very challenging
problem after decades of development. Each segmentation algorithm has its merits as well …

Affinity graph-based segmentation methods have become a major trend in computer vision.
The performance of these methods rely on the constructed affinity graph, with particular …

This paper proposes a new method for hierarchical image segmentation based on the
nonsymetry and anti‐packing pattern representation model (NAM) and the hierarchical …

Graph-based segmentation methods have become a major trend in computer vision. Due to
the advantages of assimilating different graphs, a multi-scale fusion graph have a better …

We propose to use color covariance matrices of superpixels as a feature in addition to
colors. A non-Euclidean distance metric is employed for the covariance matrix manifolds. We …

Image segmentation is one of the core task in image processing. Traditionally such
operation is performed starting from single pixels requiring a significant amount of …