Fuzzy measures and the Choquet integral are generalizations of classical measures and the Lebesgue integral, respectively. Given a fuzzy measure and a nonnegative measurable function on a measurable space, the Choquet...
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Fuzzy measures and the Choquet integral are generalizations of classical measures and the Lebesgue integral, respectively. Given a fuzzy measure and a nonnegative measurable function on a measurable space, the Choquet integral determines a new fuzzy measure that is absolutely continuous with respect to the original one (in a generalized sense for fuzzy measures). This new fuzzy measure preserves almost all desirable structural characteristics of the original fuzzy measure, such as subadditivity, superadditivity, null-additivity, converse-null-additivity, autocontinuity, converse-autocontinuity, uniform autocontinuity, uniform converse-autocontinuity, and fuzzy multiplicativity. As a notable exception, fuzzy additivity is not necessarily preserved. Such a construction is a useful method to define sound fuzzy measures or revise fuzzy measures in various applications.
This paper presents a new method of fringe-patternanalysis by spatial phase stepping (sps). The sps method combines the computational simplicity of phase stepping with the single-imageanalysis capability of the Four...
This paper presents a new method of fringe-patternanalysis by spatial phase stepping (sps). The sps method combines the computational simplicity of phase stepping with the single-imageanalysis capability of the Fourier transform method, The technique works by subdividing a linearized fringe pattern into three component images, from which the phase is calculated by a three-phase step algorithm, A computer simulation has been undertaken to demonstrate the theory and to enable an analysis of systematic errors. In addition, an experimental transonic flow field is solved by sps and a comparison is made with results derived using the Fourier transform method, The experiment also demonstrates the use of the minimum spanning tree phase-unwrapping strategy to create a continuous map of the whole transonic flow field.
The proceedings contain 27 papers. The topics discussed include: MILOrd: advanced database technology for implementing a multimedia medical workstation;multimedia in radiology environments;the video and picture inform...
ISBN:
(纸本)0818636408
The proceedings contain 27 papers. The topics discussed include: MILOrd: advanced database technology for implementing a multimedia medical workstation;multimedia in radiology environments;the video and picture information system utilizing ISDN;application of the ISC system in the national cancer center;IMPACT: integrating microscopy for pathology activities and computer technology;a national telepathology project in Sweden - preliminary results;a multi-departmental hospital imaging system: implications for the electronic medical record;establishment of endoscopic image filing system;multimodality imageanalysis for computer vision in radiology - status of the COVIRA project;and geometric pattern feature analysis of interstitial infiltrates for computer- aided diagnosis of interstitial disease in digital chest radiographs.
We are developing a computerized method for detection and characterization of interstitial diseases based on quantitative analysis of geometric features of various infiltrate patterns in digital chest radiographs. Reg...
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The adaptive mesh model is extended in several ways. Open adaptive meshes and closed adaptive shells based on triangular and rectangular elements are developed. A discontinuity detection and preservation algorithm sui...
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Several protein crystallization techniques, including the vapor diffusion method, lend themselves well to automation techniques. Up unitl the present time, automation techniques have been restricted to setting up crys...
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Several protein crystallization techniques, including the vapor diffusion method, lend themselves well to automation techniques. Up unitl the present time, automation techniques have been restricted to setting up crystallization experiments, and procedures to monitor and analyze the experiments have not been developed. These procedures require additional hardware for video monitoring of crystallization chambers and automatic recognition of protein crystals. An automated image acquisition and analysis system makes use of both image processing routines and patternrecognition procedures. In order to design and implement such a system, we are presently developing algorithms which can recognize and locate protein crystals in video images of crystallization droplets. images of crystallization experiments are acquired and digitized, and analyses of the droplet images are conducted on the microcomputer which also acts as a host in our laboratory robotics system. We describe here our current progress in designing the imageanalysis system, including the development of appropriate patternrecognition methods. In addition, the usefulness of various patternrecognition schemes for monitoring the progress of crystallization is explored.
Electrophoresis gel analysis is a viable technique for determining the purity of hybrid corn seeds. Visually analyzing the electrophoretic gel images is a very tedious and time-consuming task. In this paper, a compute...
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ISBN:
(纸本)0897913728
Electrophoresis gel analysis is a viable technique for determining the purity of hybrid corn seeds. Visually analyzing the electrophoretic gel images is a very tedious and time-consuming task. In this paper, a computer vision system integrating image processing and patternrecognition techniques with domain-specific structural information to automate the electrophoresis gel scoring procedure is presented. A set of image processing algorithms are developed to perform extraction of the region of interest, segmentation of samples, identification of bands within samples, and final classification of different types of seeds. The image processing algorithms utilize the structural information and operator expertise to achieve high classification rate with fuzzy and incomplete information contained on the electrophoresis gels. The developed technique clearly demonstrates the potential of using computer vision in automating the gel scoring procedure. The developed technology may also be extended to other areas such as general one-dimensional electrophoresis and high performance thin layer chromatography.
An algorithm is described for reconstructing the surface shape of a non-rigid transparent object, such as water, from the apparent motion of the observed pattern. This algorithm is based on the optical and statistical...
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ISBN:
(纸本)0818620579
An algorithm is described for reconstructing the surface shape of a non-rigid transparent object, such as water, from the apparent motion of the observed pattern. This algorithm is based on the optical and statistical analysis of the distortions. It consists of the following parts: (1) extraction of optical flow, (2) averaging of each point trajectory obtained from the optical flow sequence, (3) calculation of the surface normal using optical characteristics, and (4) reconstruction of the surface. The algorithm is applied to synthetic and real images to demonstrate its performance.
Electrophoresis gel analysis is a viable technique for determining the purity of hybrid corn seeds. Visually analyzing the electrophoretic gel images is a very tedious and time-consuming task. In this paper, a compute...
ISBN:
(纸本)9780897913720
Electrophoresis gel analysis is a viable technique for determining the purity of hybrid corn seeds. Visually analyzing the electrophoretic gel images is a very tedious and time-consuming task. In this paper, a computer vision system integrating image processing and patternrecognition techniques with domain-specific structural information to automate the electrophoresis gel scoring procedure is presented. A set of image processing algorithms are developed to perform extraction of the region of interest, segmentation of samples, identification of bands within samples, and final classification of different types of *** image processing algorithms utilize the structural information and operator expertise to achieve high classification rate with fuzzy and incomplete information contained on the electrophoresis gels. The developed technique clearly demonstrates the potential of using computer vision in automating the gel scoring procedure. The developed technology may also be extended to other areas such as general one-dimensional electrophoresis and high performance thin layer chromatography.
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