Automated techniques are presented for discrimination between two organs on the basis of their differential uptake of two radioactive substances. Their feasibility is tested on images of the liver and pancreas.
Automated techniques are presented for discrimination between two organs on the basis of their differential uptake of two radioactive substances. Their feasibility is tested on images of the liver and pancreas.
Feasibility of identification of three-dimensional objects from their silhouettes by a sequential matching algorithm is studied. A known object is sequentially moved in the parameter space, and synthetically projected...
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Feasibility of identification of three-dimensional objects from their silhouettes by a sequential matching algorithm is studied. A known object is sequentially moved in the parameter space, and synthetically projected until its silhouette matches that of the unknown silhouette. The method appears to work well but requires substantial numerical computation, since many local minima exist. It may be more suited for tracking trajectories of moving objects where local minima would provide estimation of current parameters of the object, and where excessive processing may not be needed.
Efficient data structures for picture processing are developed on the basis of graph theoretic concepts. Picture segmentation is achieved by a directed split-and-merge algorithm and subsequent analysis is performed on...
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Efficient data structures for picture processing are developed on the basis of graph theoretic concepts. Picture segmentation is achieved by a directed split-and-merge algorithm and subsequent analysis is performed on the basis of the region adjacency graph (RAG). It is shown that multiply connected regions (i. e. having holes) correspond to cutnodes of this graph. The latter can be identified easily by using the Hopcroft-Tarjan algorithm.
A projection of a picture may be defined as a set of values, each of which is then sum of the gray levels along a known ray path through the picture. Reconstruction is achieved by operating on a set of projections to ...
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A projection of a picture may be defined as a set of values, each of which is then sum of the gray levels along a known ray path through the picture. Reconstruction is achieved by operating on a set of projections to produce approximations to the original picture. In general, there are many pictures with the same projection set. Factors contributing to and causing this ambiguity are examined. The reconstruction problem arises in X-ray analysis and electron microscopy of translucent objects, such as ribosomes. Given a projection set, it is desirable to determine what the original image looked like, both for further study and to be able to compute new projections at new angles without taking new x-rays or micrographs. Projections are also considered as a form of data compression in patternrecognition, where they may be used as a form of feature extraction.
Criteria which facilitate the design of an automatic data manager for a large data base are proposed. A syntactic pattern definition language provides a set of subdefinitions which can be preprocessed. A total expecte...
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Criteria which facilitate the design of an automatic data manager for a large data base are proposed. A syntactic pattern definition language provides a set of subdefinitions which can be preprocessed. A total expected cost graph for a pattern definition set is used to define preprocessed sets for various costs. The problem of the design of preprocessor or automatic data manager is related to the specification of an appropriate adaptive system.
Acoustic prosodic information about syntactic boundaries was incorporated into two different types of speech understanding systems. This paper presents a brief outline of English prosodies and then reports the effect ...
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Acoustic prosodic information about syntactic boundaries was incorporated into two different types of speech understanding systems. This paper presents a brief outline of English prosodies and then reports the effect on system performance of using prosodic information. Issues of overall system design which effect the implementation of prosodic rules are discussed.
image segmentation is that part of image analysis that concerns itself with the spatial definition of the various ″objects″ constituting a visual scene. This paper presents a case for combining the line, region and ...
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image segmentation is that part of image analysis that concerns itself with the spatial definition of the various ″objects″ constituting a visual scene. This paper presents a case for combining the line, region and semantic structure of a general class of images in the pursuit of meaningful segmentation. It is proposed that fragmentary line extracts and region pieces might interact in refining each in a structured way with the semantic component entering both at the low level of defining the acceptable linkage processes for combination of line and region fragments and also at the high level of human interpretation of the results and interactive feedback aimed at improving the computational processes invoked. Preliminary implementation results are given for a number of simple image scenes.
image segmentation is that part of image analysis that concerns itself with the spatial definition of the various ″objects″ constituting a visual scene. This paper presents a case for combining the line, region and ...
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image segmentation is that part of image analysis that concerns itself with the spatial definition of the various ″objects″ constituting a visual scene. This paper presents a case for combining the line, region and semantic structure of a general class of images in the pursuit of meaningful segmentation. It is proposed that fragmentary line extracts and region pieces might interact in refining each in a structured way with the semantic component entering both at the low level of defining the acceptable linkage processes for combination of line and region fragments and also at the high level of human interpretation of the results and interactive feedback aimed at improving the computational processes invoked. Preliminary implementation results are given for a number of simple image scenes.
Despite the numerous linguistic and syntactic procedures proposed for scene analysis, the features in terms of which a real scene can be modelled have not been defined in a comprehensive manner. In the processing of t...
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Despite the numerous linguistic and syntactic procedures proposed for scene analysis, the features in terms of which a real scene can be modelled have not been defined in a comprehensive manner. In the processing of the image of a real scene a profusion of features are obtained. A large percentage of these are extraneous while some critical ones used in the linguistic description will be missing. To find a predefined combination of features from such a collection, even on a probabilistic basis, results in a combinatorial explosion. Yet, in the literature on psychology of vision, on the effects of brain damage, on how to draw pictures, etc. , there is a wealth of hints on how ″biological systems″ appear to solve the scene analysis problem. To biological systems, scene analysis ″comes naturally″ ; one is not even aware that the problem exists. Some observational results will be compared with computational procedures.
Despite the numerous linguistic and syntactic procedures proposed for scene analysis, the features in terms of which a real scene can be modelled have not been defined in a comprehensive manner. In the processing of t...
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Despite the numerous linguistic and syntactic procedures proposed for scene analysis, the features in terms of which a real scene can be modelled have not been defined in a comprehensive manner. In the processing of the image of a real scene a profusion of features are obtained. A large percentage of these are extraneous while some critical ones used in the linguistic description will be missing. To find a predefined combination of features from such a collection, even on a probabilistic basis, results in a combinatorial explosion. Yet, in the literature on psychology of vision, on the effects of brain damage, on how to draw pictures, etc. , there is a wealth of hints on how ″biological systems″ appear to solve the scene analysis problem. To biological systems, scene analysis ″comes naturally″;one is not even aware that the problem exists. Some observational results will be compared with computational procedures.
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