This paper describes a new region-growing technique that uses a closed snake driven by a pressure force that is a function of the statistical characteristics of image data. This statistical snake expands until its elements encounter pixels that lie outside user-defined limits relative to a seed region; when these limits are violated the pressure force is reversed to make the model contract. Ten...

We introduce a self-assessed region growing technique capable of producing airway segmentations with reasonable quality. The main advantages of our technique are its robustness against leakage, and the absence of any training stages. Our method can not be considered fully automatic as it requires manual seeding of the trachea region, although there exists a variety of techniques to circumvent t...

Five different threshold segmentation based approaches have been reviewed and compared over here to extract the tumor from set of brain images. This research focuses on the analysis of image segmentation methods, a comparison of five semi-automated methods have been undertaken for evaluating their relative performance in the segmentation of tumor. Consequently, results are compared on the basis...

Saliency detection aims to detect the most attractive objects in images, which has been widely used as a foundation for various multimedia applications. In this paper, we propose a novel salient object detection algorithm for RGB-D images using center-dark channel prior. First, we generate an initial saliency map based on a color saliency map and a depth saliency map of a given RGB-D image. The...

Weak boundary contrast, inhomogeneous background and overlapped intensity distributions of the object and background are main causes that may lead to failure of boundary detection for many image segmentation methods. An adaptive region growing method based on multiple boundary measures is presented. It consists of region expansion and boundary selection processes. During the region expansion pr...

This paper deals with the class of extensive operators in the lattice of partitions. These operators are merging techniques. They can be used as ltering tools or as segmentation algorithms. In the rst case, they are known as connected operators and, in the second case, they are region growing techniques. This paper discusses the basic elements that have to be deened to create a merging algorith...

This paper introduces a level set methodology for the precise boundary localization of image objects within an indicated region, designed to be particularly robust against weak or spurious edges, triple points or inhomogeneity of object features in the proximity of the actual interface. The proposed technique requires a reliable classification for a subset of the object interiors, which is prop...

This paper adresses the problem of motion-based segmentation of image sequences. Onemotion estimation algorithm and two segmentation algorithms are presented. The motion estimation is based on 3D orientation tensors and the algorithm can be used to estimate a large class of motion models, including the affine model that is used in the segmentation. The segmentation algorithms are based on a com...

In the previous paper, we have conceptualized the localization and the organization of seeded region growing by pixels aggregation (SRGPA) but we do not give the issue when there is a collision between two distinct regions during the growing process. In this paper, we propose two implementations to manage two classical growing processes: one without a boundary region region to divide the other ...