We present ratio contour, a novel graph-based method for extracting salient closed
boundaries from noisy images. This method operates on a set of boundary fragments that …

A novel thresholding algorithm is presented in this paper to improve image segmentation
performance at a low computational cost. The proposed algorithm uses a normalized graph …

In this paper, we introduce new types of variational segmentation cost functions and
associated active contour methods that are based on pairwise similarities or dissimilarities of …

The aim of this paper is to present an improvement of a previously published algorithm. The
proposed approach is performed in two steps. In the first step, we generate the Weighted …

The goal of this communication is to suggest an alternative implementation of the k-way Ncut
approach for image segmentation. We believe that our implementation alleviates a problem …

The primary goal of this thesis is to develop robust image segmentation methods based on
variational techniques. Image segmentation is one of the fundamental problems in image …

A new image segmentation method is proposed in the framework of Normalized Cuts to
solve the perceptual grou** problem by means of graph partitioning, and the multiscale …

ABSTRACT A brain tumor is an abnormal collection of tissue in the brain. When tumors form,
they are classified as either malignant or benign. It is critical to notice and identify the …

This paper presents a novel approach to image segmentation based on hypergraph cut
techniques. Natural images contain more components: Edge, homogeneous region, noise …

Selecting groups of objects is a frequent task in graphical user interfaces since it precedes
all manipulation operations. Current selection techniques such as lasso become time …