A digital model of an image with speckle noise was constructed and verified by comparison to optically generated images with speckle noise. The model was then used to obtain detection probabilities and to evaluate sev...
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A digital model of an image with speckle noise was constructed and verified by comparison to optically generated images with speckle noise. The model was then used to obtain detection probabilities and to evaluate several digital filtering techniques.
A new probabilistic representation of image texture is presented based on the theory of homogeneous Markov Random Fields (MRF's). This probabilistic model is the natural multidimensional generalization of a Markov...
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A new probabilistic representation of image texture is presented based on the theory of homogeneous Markov Random Fields (MRF's). This probabilistic model is the natural multidimensional generalization of a Markov chain defined in terms of nearest neighbor conditional probabilities. The mathematical model presented promises to (1) lead to an efficient algorithm for multidimensional Markov texture generation, and (2) suggests efficient features for texture recognition.
An approach to the problem of efficiently storing and accessing a large data set for patternrecognition is presented. The basis of this approach is a data structure, called the Hierarchical Projection Tree, which com...
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An approach to the problem of efficiently storing and accessing a large data set for patternrecognition is presented. The basis of this approach is a data structure, called the Hierarchical Projection Tree, which combines hierarchical clustering algorithms with one-dimensional projections to store and access multidimensional data. Algorithms for constructing the tree structure and for retrieving the desired data points in the tree are developed. Experiments designed to evaluate the performance of this approach are described and results presented.
The problem of matchine two images of the same scene under different viewing conditions is a challenging problem in the field of patternrecognition and imageprocessing. The scenes are usually transformed so drastica...
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The problem of matchine two images of the same scene under different viewing conditions is a challenging problem in the field of patternrecognition and imageprocessing. The scenes are usually transformed so drastically by the different sensor characteristics that it is extremely difficult, if not impossible, to match the original images without the proper data transformations. An intensity matching technique is developed and used to match the intensity value of one image to that of the other as closely as possible through the use of a digital computer. Experimental results are presented for the transformations of several images using this technique.
An adaptive image segmentation technique using prototype similarity is described here. The philosophy of this technique is to pick up a few candidate regions (prototypes) in the image in terms of which the whole image...
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An adaptive image segmentation technique using prototype similarity is described here. The philosophy of this technique is to pick up a few candidate regions (prototypes) in the image in terms of which the whole image can be represented. Then, use this symbolic representation to segment the image into meaningful components. The segmentation results of this technique on FLIR images are included.
In an effort to reduce the total number of ray-sums used in image reconstruction, a variety of Fourier reconstruction techniques is evaluated through computer simulation. These varieties of techniques include lowpass ...
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In an effort to reduce the total number of ray-sums used in image reconstruction, a variety of Fourier reconstruction techniques is evaluated through computer simulation. These varieties of techniques include lowpass filtering, zonal filtering, widening of ray-widths and standard Fourier reconstruction.
The nearest neighbor rule is considered for data samples obtained by selecting N//i independent samples with the conditional distribution corresponding to class C//i. It is shown that a weighted distance rule can impr...
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The nearest neighbor rule is considered for data samples obtained by selecting N//i independent samples with the conditional distribution corresponding to class C//i. It is shown that a weighted distance rule can improve the performance when the ratio of N//i to the total sample size differs substantially from the a priori probability of class C//i.
Conventional transverse axial tomographs, especially those taken with 220 degree arc machines, exhibit poor image quality due to low frequency noise introduced in the averaging process. This noise can be significantly...
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Conventional transverse axial tomographs, especially those taken with 220 degree arc machines, exhibit poor image quality due to low frequency noise introduced in the averaging process. This noise can be significantly reduced by digital filtering techniques. A limited look-ahead heuristic search based on intensity and gradient information can then be used to locate the lung boundaries.
Initial results on spatially variant recursive estimation of images are presented. parameters of block-wise constant recursive model are identified on noise free data. The models are then used to design reduced update...
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Initial results on spatially variant recursive estimation of images are presented. parameters of block-wise constant recursive model are identified on noise free data. The models are then used to design reduced update Kalman filters which are applied to noisy data. The results are presented and discussed.
A special computer architecture for imageprocessing is proposed. This architecture uses a distributed computing approach. Two major features are the reconfigurable capability, and the method of computer exploitation ...
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A special computer architecture for imageprocessing is proposed. This architecture uses a distributed computing approach. Two major features are the reconfigurable capability, and the method of computer exploitation of task parallelism. Finally, a parallel parsing scheme for tree grammar is used to demonstrate the higher efficiency of the proposed computer architecture than the conventional parsing scheme.
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