A formalization is made of the concept of skeleton as encountered in patternrecognition applications, and the link which exists between skeletons, projections, and patterns is exhibited. The possibility for doing so ...
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A formalization is made of the concept of skeleton as encountered in patternrecognition applications, and the link which exists between skeletons, projections, and patterns is exhibited. The possibility for doing so is offered by the use of our general categorical formalization of patternrecognition.
A description is provided of a particular Computed Radiography system as it evolved from a Computed Tomography system. A comparison of image performance is made between this system and standard film screen radiography...
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A description is provided of a particular Computed Radiography system as it evolved from a Computed Tomography system. A comparison of image performance is made between this system and standard film screen radiography. Some of the imageprocessing.techniques used to construct and enhance the radiographic images are described.
A discussion is presented of a facet model for image data which has the potential for fitting the form of the real idealized image, and for describing how the observed image differs from the idealized form. It is also...
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A discussion is presented of a facet model for image data which has the potential for fitting the form of the real idealized image, and for describing how the observed image differs from the idealized form. It is also an appropriate form for a variety of imageprocessing.algorithms. Then the authors give a relaxation procedure, and prove its convergence, for determining an estimate of the ideal image from observed image data.
A description is given of a general automatic, region based image segmentation technique. This technique is based on a simple thresholding procedure applied recursively to obtain a complete segmentation. The results o...
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A description is given of a general automatic, region based image segmentation technique. This technique is based on a simple thresholding procedure applied recursively to obtain a complete segmentation. The results on the test image are presented and discussed.
Recently, deep neural networks have been widely used to approximate or improve image operators. In general, an image operator has some hyper-parameters that change its operating configurations, e.g., the strength of s...
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ISBN:
(纸本)9781728125060
Recently, deep neural networks have been widely used to approximate or improve image operators. In general, an image operator has some hyper-parameters that change its operating configurations, e.g., the strength of smoothing, up-scale factors in super-resolution, or a type of image operator. To address varying parameter settings, an image operator taking such parameters as its input, namely a parameterized image operator, is an essential cue in imageprocessing. Since many types of parameterization techniques exist, a comparative analysis is required in the context of imageprocessing. In this paper, we therefore analytically explore the operation principles of these parameterization techniques and study their differences. In addition, performance comparisons between image operators parameterized by using these methods are assessed experimentally on common imageprocessing.tasks including image smoothing, denoising, deb locking, and super-resolution.
The adaptive image filtering considered in this study includes a Kalman filter for noisy image enchancement and a generalized likelihood ratio technique to detect and estimate the jumps corresponding to object boundar...
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The adaptive image filtering considered in this study includes a Kalman filter for noisy image enchancement and a generalized likelihood ratio technique to detect and estimate the jumps corresponding to object boundaries. The filter is adjusted when the jump is detected. When the transition matrix of the filter is unknown, it is determined by a method of simultaneous on-line estimation of parameters and states. Both the mathematical analysis and computer results are presented in detail. The procedures involved are highly effective and flexible, and computationally efficient.
A large number of techniques have been proposed to solve the problem of image reconstruction from its projections in the spatial domain which were shown to be special cases of a general quadratic optimization formulat...
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A large number of techniques have been proposed to solve the problem of image reconstruction from its projections in the spatial domain which were shown to be special cases of a general quadratic optimization formulation. In this study, the problem is formulated as a quadratic optimization in the Fourier domain. Different special cases and interpretations are included. Advantages of such a formulation are discussed, reconstruction algorithms for a separate optimization of magnitude and phase are derived, and finally, computer simulated results are presented.
Simulation results are presented for motion compensated hybrid transform/DPCM image coders using coefficient-recursive displacement estimation. computer simulations on two typical real-life sequences of frames show th...
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Simulation results are presented for motion compensated hybrid transform/DPCM image coders using coefficient-recursive displacement estimation. computer simulations on two typical real-life sequences of frames show that displacement based (motion compensated) coefficient prediction results in coder bit rates that are 20 to 40 percent lower than conventional interframe transform coders using 'frame difference of coefficients'.
The use of a heterogeneous multiple-SIMD (M-SIMD) architecture with image-based measurements and optimal (Kalman) estimators for the analysis of image sequences is illustrated. The architecture integrates SIMD and MIM...
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