The DARPA image Understanding Program provides support for a varietY of fundamental research efforts aimed at the derivation of information from images. This paper highlights the research and describes the approach us...
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The DARPA image Understanding Program provides support for a varietY of fundamental research efforts aimed at the derivation of information from images. This paper highlights the research and describes the approach used to develop synergism between researchers engaged in complementary sciences contributing to computer vision. Possible applications of image understanding to the Department of Defense are discussed.
The DARPA image Understanding Program provides support for a varietY of fundamental research efforts aimed at the derivation of information from images. This paper highlights the research and describes the approach us...
详细信息
The DARPA image Understanding Program provides support for a varietY of fundamental research efforts aimed at the derivation of information from images. This paper highlights the research and describes the approach used to develop synergism between researchers engaged in complementary sciences contributing to computer vision. Possible applications of image understanding to the Department of Defense are discussed.
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.
When any edge detection technique is applied to a picture, the resulting edge image will contain noise, cracks, and parasitic branches. To remove these, an algorithm was designed which grows local trees along the boun...
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When any edge detection technique is applied to a picture, the resulting edge image will contain noise, cracks, and parasitic branches. To remove these, an algorithm was designed which grows local trees along the boundary and prunes these trees to provide linear and clean contours for objects in the picture.
Several graphic techniques are presented which are useful for evaluating certain types of clustering algorithms. Some of the techniques require only a plotter, while others require interactive graphics capabilities. T...
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Several graphic techniques are presented which are useful for evaluating certain types of clustering algorithms. Some of the techniques require only a plotter, while others require interactive graphics capabilities. The techniques are illustrated using three different clustering algorithms and four different data sets.
A general method is presented for generation of stochastic texture fields from a priori given second order statistics. A counter example to Julesz conjecture is shown. This conjecture (1962) stated that human eye cann...
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A general method is presented for generation of stochastic texture fields from a priori given second order statistics. A counter example to Julesz conjecture is shown. This conjecture (1962) stated that human eye cannot discriminate two textures having the same second order statistics.
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.
An efficient procedure which integrates feature selection and binary decision tree construction is presented. The nonparametric approach is based on the Kolmogorov-Smirnov criterion which yields an optimal classificat...
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An efficient procedure which integrates feature selection and binary decision tree construction is presented. The nonparametric approach is based on the Kolmogorov-Smirnov criterion which yields an optimal classification decision at each node. By combining the feature selection with the design of the classifier, only the most informative features are retained for classification.
Beginning studies are described aimed at defining a set of features to be used with the Spatial Gray Level Dependence Method (SGLDM) which will measure image characteristics believed to be used by humans in the discri...
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Beginning studies are described aimed at defining a set of features to be used with the Spatial Gray Level Dependence Method (SGLDM) which will measure image characteristics believed to be used by humans in the discrimination of textures. In particular a procedure is described which will allow the SGLDM to be used to measure the unit cell size of textures and the coarseness of textures.
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.
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