We present a CAD system for skeletal age assessment based on Tanner-Whitehouse method. Using digital X-ray left hand images, maturity indicators are searched by means of a interactive process. Results indicate that th...
ISBN:
(纸本)0769513301
We present a CAD system for skeletal age assessment based on Tanner-Whitehouse method. Using digital X-ray left hand images, maturity indicators are searched by means of a interactive process. Results indicate that this approach is useful to speed up the analysis of growth disorders.
We present methods for synthesizing 3D shape features on subdivision surfaces using multiscale procedural techniques. Multiscale synthesis is a powerful approach for creating surfaces with different levels of detail. ...
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ISBN:
(纸本)0769513301
We present methods for synthesizing 3D shape features on subdivision surfaces using multiscale procedural techniques. Multiscale synthesis is a powerful approach for creating surfaces with different levels of detail. Our methods can also blend multiple example multiresolution surfaces, including procedurally-defined surfaces as well as captured models.
the estimation of left ventricle motion and deformation from series of images has been an area of attention in the medical image analysis and still remains and open and challenging problem. the proper motion tracking ...
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ISBN:
(纸本)0769513301
the estimation of left ventricle motion and deformation from series of images has been an area of attention in the medical image analysis and still remains and open and challenging problem. the proper motion tracking of left ventricle wall can contribute to isolate the location and extent of ischemic or infarcted myocardium. We present a method that automatically estimates the velocity vector field for a beating heart based on the study of variation in frequency content of a time series of non-stationary images. Results obtained withthis automated method in synthetic images and cardiac gated-SPECT images are presented.
作者：
Clua, EWGDreux, MFeijó, BICAD
Department of Computer Science PUC - Rio Brazil ICAD
Department of Mechanical Engineering PUC - Rio Brazil
In order to obtain models of complex virtual environments, there are many solutions that make use of image-based rendering techniques. When using a set of images to represent an element in space as a billboard, there ...
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ISBN:
(纸本)0769513301
In order to obtain models of complex virtual environments, there are many solutions that make use of image-based rendering techniques. When using a set of images to represent an element in space as a billboard, there are some problems related withthe shading calculations, once these elements are just planes in space. this article presents a new approach for shading objects represented by images, which divides the problem into two parts: the shading maps generation for an object with specific set of lights in the environment and real-time shading simulation for a specific observer point of view and object location.
this work consists of the study, development and implementation of a toolbox of imageprocessing for Python language [1]. this environment will be useful in education, research and development of final applications. T...
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this paper proposes a new method for image denoising with edge preservation, based on image multiresolution decomposition by a redundant wavelet transform. In our approach, edges are implicitly located and preserved i...
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ISBN:
(纸本)0769513301
this paper proposes a new method for image denoising with edge preservation, based on image multiresolution decomposition by a redundant wavelet transform. In our approach, edges are implicitly located and preserved in the wavelet domain, while noise is filtered out. At each resolution, the coefficients associated to noise and coefficients associated to edges are modeled by Gaussians, and a shrinkage function is assembled. the shrinkage functions are combined in consecutive resolution, and geometric constraints are applied to preserve edges that are not isolated. Finally, the inverse wavelet transform is applied to the modified coefficients. this method is adaptive, and performs well for images contaminated by natural and artificial noise.
this paper presents a novel and more successful learning based approach to extracting low level features in a retina-like (log-polar) image representation. the low level features (edges, bars, blobs and ends) are base...
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ISBN:
(纸本)0769513301
this paper presents a novel and more successful learning based approach to extracting low level features in a retina-like (log-polar) image representation. the low level features (edges, bars, blobs and ends) are based on Marr's primal sketch hypothesis for the human visual system [10]. the feature extraction process used a neural network that learns examples of the features in a window of receptive fields of the image representation. An architecture designed to encode the feature's class, position, orientation and contrast has been proposed and tested. Success depended on the incorporation of a function to normalise the feature's orientation and a PCA pre-processing module to produce better separation in the feature space.
this paper describes the design and implementation of NISVAS, an application for interactive visualization of large three-dimensional datasets produced by scientific applications that was developed in Java/Java3D. Dat...
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ISBN:
(纸本)0769513301
this paper describes the design and implementation of NISVAS, an application for interactive visualization of large three-dimensional datasets produced by scientific applications that was developed in Java/Java3D. Data visualization with NISVAS maps dataset magnitudes into color, symbols and vectors. this paper presents the concepts and requirements for NISVAS graphical processing and user interface. the user interface is easy to use and learn, and supports different levels of user expertise. User reactions to NISVAS showed that all objectives were met, especially those relating to application performance and ease of use. Concluding remarks include directions for future development.
this paper presents an interactive algorithm for image denoising and segmentation. A global competition criterion is used to impose an order of processing on all image pixels. the smoothing step employs an evolution e...
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ISBN:
(纸本)0769513301
this paper presents an interactive algorithm for image denoising and segmentation. A global competition criterion is used to impose an order of processing on all image pixels. the smoothing step employs an evolution equation controlled by the local curvature to denoise the image while preserving the features. the interactive segmentation step requires the user to select one definitive seed per region. Region growing is initiated around provisory seeds, which are automatically detected, labeled and eventually merged by the algorithm. A simple merging mechanism is used to handle the topological transformations required to remove the image over-segmentation. It is shown that accurate and fast segmentation results can be achieved for gray and color images using this simple method. Extension to 3D images is straightforward and easily handled.
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