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...

We propose algorithms to automate the segmentation of pulmonary tree structures in the lung, using tools from Mathematical Morphology. This involves segmenting three diierent types of three-dimensional tree structures (airway tree, pulmonary artery, pulmonary vein) from a stack of grayscale Computed Tomography (CT) images. The proposed algorithms rely on the grayscale reconstruction operator to...

We present here a new algorithm for segmentation of intensity images which is robust, rapid, and free of tuning parameters. The method, however, requires the input of a number of seeds, either individual pixels or regions, which will control the formation of regions into which the image will be segmented. In this correspondence, we present the algorithm, discuss briefly its properties, and sugg...

a field experiment was conducted to study the spatial relationships between weed seed bank and population and their distribution models in sugar beet crop (beta vulgaris) in 2009 at motahari  agricultural research station of karaj. sampling from seed bank before sugar beet drilling and weed population in three stages during the growing season were done using square (50*50 cm) and rectangle (25*...

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 de ned to create a merging algorithm mergi...