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...

Proof: Let R1 and R2 denote the instances of a region R in I1 and I2. In order to detect the entire region R, at least one descriptor d1 ∈ R1 has to randomly sample its correct match d2 ∈ R2 (following which the entire region will be ‘grown’ due to the propagation phase of the Region Growing Algorithm described in Section 4). So, the probability of detecting a region is equal to the probability...

Massive events, as sportive events, involves a huge amount of spectators. Citizens that wish to attend buy a ticket that allzows them to seat in a given zone of the stadium with several features, but usually they do not buy the physical seat at the sport ground. Then, one of the duties of the organizing committees is to allocate the different localities of the enclosure to the persons that have...

This paper presents one efficient automatic detection method for filament disappearance. The method was applied to the Big Bear Solar Observatory (BBSO) fulldisk Hα images. The initial step is to detect the filament pixels by the threshold method. Then, using a regiongrowing method, we merge the adjacent detected pixels to obtain all filament areas. Based on these two steps, an automatic filame...