With the recent advances in complex networks theory, graph-based techniques for image
segmentation has attracted great attention recently. In order to segment the image into …

With the recent advances in complex networks, image segmentation becomes one of the
most appropriate application areas. In this context, we propose in this paper a new …

Image segmentation is a fundamental low-level vision problem with a great potential when it
comes to its applications. Several methods exist to split an image into regions. However, this …

Image segmentation is one of the fundamental problems in image processing and computer
vision, since it is the first step in many image analysis systems. This paper presents a new …

Image segmentation has an important role in many image processing applications. Several
methods exist for segmenting an image. However, this technique is still a relatively open …

Image segmentation is still a challenging issue in pattern recognition. Among the various
segmentation approaches are those based on graph partitioning, which present some …

This paper presents an image segmentation strategy using histograms of oriented gradients
(HOG), color features and Louvain method, a community detection on graphs algorithm, to …

Image segmentation has many applications which range from machine learning to medical
diagnosis. In this study, the authors propose a framework for the segmentation of images …

This paper presents an image segmentation strategy using an idea coming from the social
networks analysis domain. This strategy relies on the use of community detection algorithms …

Image segmentation is an important technique in image analysis. Existing methods in image
segmentation rely on an artificial neural network to extract the feature of the image. In this …