Results 171 to 180 of about 270 (213)
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Skeletonization of labeled gray-tone images

Image and Vision Computing, 2005
A gray-tone image including perceptually meaningful elongated regions can be represented by a set of line patterns, the skeleton, consisting of pixels having different gray-values and mostly placed along the central positions of the regions themselves.
C Arcelli, L Serino
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Skeleton-based image warping

The Visual Computer, 1989
Image warping refers to the 2D resampling of a source image onto a target image. Despite the variety of techniques proposed, a large class of image warping problems remains inadequately solved: mapping between two images which are delimited by arbitrary, closed, planar curves, e.g., handdrawn curves.
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Magnetic resonance imaging of the immature skeleton

Acta Radiologica, 2013
Magnetic resonance (MR) is unique in its ability to allow assessment of bone marrow, epiphyseal, physeal, and articular cartilage as well as tendons and ligaments. An understanding of skeletal maturation and the accompanying changes on MR is of utmost importance in pediatric radiology.
Peter, Boavida   +2 more
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Skeletonization for fuzzy degraded character images

IEEE Transactions on Image Processing, 1996
Most skeletonization algorithms are operated on binary images. To avoid information loss and distortion, a topography-based approach is proposed to apply directly on fuzzy or gray scale images. A membership function is used to indicate the degree of membership of each ridge point with respect to the skeleton. Significant ridge points are linked to form
Shy-Shyan Chen, Frank Yeong-Chyang Shih
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PET Imaging of the Skeleton

2006
The role for PET imaging of the skeleton is evolving. It is possible that 18F-fluoride PET may have incremental value in detecting bone metastases over conventional bone scintigraphy, but this has yet to be established. A role may also exist for quantitative studies using 18F-fluoride PET for research or clinical applications where there is a need to ...
Gary J. R. Cook   +2 more
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A Survey on Skeletons in Digital Image Processing

2009 International Conference on Digital Image Processing, 2009
An image is digitized to convert it to a form which can be stored in a computer's memory or on some form of storage media such as a hard disk or CD-ROM. Once the image has been digitized, it can be operated upon by various image processing operations like enhancement, restoration, reconstruction, compression.
J. Komala Lakshmi, M. Punithavalli
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Imaging of Diseases of the Axial and Peripheral Skeleton

Radiologic Clinics of North America, 2008
Musculoskeletal complaints are common in the elderly population. The main concerns in geriatric orthopedics are the increased incidence of trauma, degeneration, and malignancy, commonly compounded by comorbidities and the effects of ageing. Imaging of common and important diseases of the axial and peripheral skeleton in the elderly is reviewed in this ...
Hsueh Wen Cheong   +2 more
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Morphological skeletonization for medical image compression

[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems, 2003
The authors introduce a lossless data compression technique based on the morphological skeleton representation. Mathematical morphology is a methodology for image analysis which provides a means for describing the geometrical structure of an image quantitatively.
Tun-Wen Pai, John H. L. Hansen
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3D image skeleton algorithms

2011 IEEE International Conference on Anti-Counterfeiting, Security and Identification, 2011
Skeletons are “compact” representations of the original objects, which are useful for many visualization tasks including medical imaging, computer graphics, computer-aided design. We introduce the basic concepts and properties of 3D skeletonization in this paper. Then we present the techniques of 3D skeletonization, especially in thinning.
null Jiangui Wu   +2 more
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Continuous Skeletons from Digitized Images

Journal of the ACM, 1969
An algorithm for the determination of the skeleton of a polygonal figure is presented. The propagation of the figure contour is simulated analytically. All skeleton branch points are obtained, in an order which depends on their distance from the contour, together with the equations of the skeleton branches connecting them.
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