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 ...

A supervised method is presented for the detection and segmentation of ribs in computed tomography (ct) data. In a first stage primitives are extracted that represent parts of the centerlines of elongated structures. Each primitive is characterized by a number of features computed from local image structure. For a number of training cases, the primitives are labeled by a human observer into two...

The U.S. Geological Survey has produced the Landsat Burned Area Essential Climate Variable (BAECV) product for the conterminous United States (CONUS), which provides wall-to-wall annual maps of burned area at 30 m resolution (1984–2015). Validation is a critical component in the generation of such remotely sensed products. Previous efforts to validate the BAECV relied on a reference dataset der...

The segmentation of brain tissue finds an important role in many clinical applications. In this paper we propose a new skull stripping method for Magnetic Resonance Images of human head scan. We use clustering based technique to find the brain boundary inside the skull. First we find the clusters based on the intensity. Then the centroids of these clusters are found. These centroids are then co...

This paper presents an algorithm for spots detection in Synthetic Aperture Radar (SAR) images that can be used to support environmental remote monitoring. Monitoring areas with high frequency of oil spillage by accidental or illegal oil discharges can prevent marine damage spreading. But the presence of speckle noise in SAR images limits the visual interpretation of scenes because it obscures t...

We propose an automatic region growing technique for the segmentation of the cerebral cortex and white matter in MRI data. Our method exploits general anatomical knowledge and uses an iterative multi resolution scheme for the estimation of intensity distributions to compensate for artifacts within the data. We present a comparison to segmentation results created by the neuroimaging software Bra...

Breast lesion boundaries have been mostly extracted by using conventional approaches as a previous step in the development of computer-aided diagnosis systems. Among these, region growing is a frequently used segmentation method. To make the segmentation completely automatic, most of the region growing methods incorporate automatic selection of the seed points. This paper proposes a new automat...