segmentation method


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segmentation method

a technique for filling tooth pulp canals in which a preselected gutta-percha cone is cut into segments. The tip segment is sealed into the apex of a root, and the other segments are usually warmed and condensed against the tip with a plugger. More cone segments are then added until the canal is filled.
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The first step of the proposed segmentation method is to automatically locate initial pixels, called seeds, within the defective regions.
To enable more precise comparison in contrast with another state of the art segmentation method, the dataset images are segmented further with a well-known method which is based on region growing followed by thresholding used in Adiga et al.
Generally, color segmentation methods are based on monochrome segmentation approaches operating in different color spaces.
A semi-automatic segmentation method for 3D volume extraction was introduced and some numerical experiments for the identification of bladder volume were presented.
The choice of segmentation method is rather arbitrary and will be dependent on other design choices as the alignment and covariance estimation strategies.
The MRF- based segmentation method gives a priori information of local structure present in an image to get better segmentation accuracy.
The segmentation method using the minimum cut model of Malioutov and Barzilay gives also similar results for segments up to a length of about 80 content words (i.
Due to its generality, their approach is successfully applied to images of very dissimilar structures, in a variety of application scenarios, avoiding the requirement of an ad-hoc segmentation method for the identification of the fibres.
The segmentation method should be chosen depending on the type of the features to be extracted and therefore, the method used varies from one study to another.
Researchers from both medical and technical fields report on such aspects as deformable registration using spring mass system with cross-section correction, evaluating the computer-assisted quantification of carotid stenosis, visualizing a skeletal dysplasia knowledge base, and a novel medical image segmentation method using dynamic programming.
We have developed a three-step segmentation method for fully automatic segmentation of the brain in 3-D MR images.