A model of representation of regions of segmented images has been recently introduced 3]. This model provides an eecient implementation of region segmentation laying on discrete maps. In this paper, we present the two basic primitives used to modify the discrete map data structure: the insertion of a new segment and the suppression of an existing segment. These both primitives are the basic one...

Depth estimation is an essential component for scene understanding. With this in mind, we take a novel approach to 3D depth reconstruction which leverages off of the highly structured nature of our environment. We believe that high level structural cues, such as planes, edges, and vertices play an important role in resolving depth ambiguities and attempt to evaluate the significance of such fac...

This paper describes a segmentation algorithm designed to separate bone from soft tissue in magnetic resonance (MR) images developed for computer-assisted surgery of the spine. The algorithm was applied to MR images of the spine of healthy volunteers. Registration experiments were carried out on a physical model of a spine generated from computed tomography (CT) data of a surgical patient. Segm...

We studied 104 patients with a total of 154 hemivertebrae which had produced scoliotic curves. Of the hemivertebrae 65% were of a fully segmented (non-incarcerated) type, 22% were semi-segmented and 12% were incarcerated. We found that the degree of scoliosis produced depended on four factors: first, the type of the hemivertebra; secondly, its site; thirdly, the number of hemivertebrae and thei...

background: accurate brain tissue segmentation from magnetic resonance (mr) images is an important step in analysis of cerebral images. there are software packages which are used for brain segmentation. these packages usually contain a set of skull stripping, intensity non-uniformity (bias) correction and segmentation routines. thus, assessment of the quality of the segmented gray matter (gm), ...

background: the segmentation of cancerous areas in breast images is important for the early detection of disease. thermal imaging has advantages, such as being non-invasive, non-radiation, passive, quick, painless, inexpensive, and non-contact. imaging technique is the focus of this research. methods: the proposed model in this paper is a combination of surf and corners that are very resistant....

Six healthy volunteers and three patients with cardiac anomalies were studied in a comparison of segmented turboFLASH (fast low-angle shot) cine, a method of magnetic resonance imaging that permits an entire series of high-resolution cine images to be obtained in one breath hold, with standard cine. Segmented turboFLASH uses a gradient-echo sequence designed for short imaging times in combinati...

Different functions, each in the form of a modified Weibull cumulative distribution function (cdf), were joined together to form a segmented cdfto approximate diameter distributions in forest stands. Estimates of five percentile points (the 0th, 25th, 50th, 75th, and 100th percentiles) were used to determine a segmented cdf. The segmented cdf and the Weibull distribution were fit to diameter da...

purpose : to evaluate corneal visco-elasticity and intraocular pressure (iop) changes measured by an ocular response analyzer (ora) after scleral buckling methods : fifty-six eyes with history of scleral buckling surgery three months ago were included in the study. corneal hysteresis (ch), corneal resistance factor (crf), corneal-compensated iop (iopcc) and goldmann-correlated iop (iopg) were m...

Scientific discovery usually involves data generation, data preprocessing, data storage and data analysis. As the data volume exceeds a few terabytes (TB) in a single simulation run, the data movement, which happens during each cycle of the scientific discovery, continues to be the bottleneck in most scientific big data applications. A lot of research works have been conducted on reducing the d...