Result filter and method for selecting the result data of an application for automatic pattern recognition
First Claim
1. A method for at least one of automatically classifying and graphically visualizing image objects that are segmented and, given undershooting of a distance and compliance with a similarity criterion, combined to form clusters, the method comprising at least one of:
- automatically preselecting at least one of result data, for object classification, using a prescribable attributive selection criterion, from a result set of an application, executed in a background on an image data record of an imaging system, for feature extraction and automatic pattern recognition of segmented and clustered image objects, and rendered image data of an image rendering application, executed in the background, for at least one of two-dimensional and three-dimensional graphic visualization of the image objects; and
marking the preselected data, in a graphically visible fashion, as preselected on a screen of a screen terminal.
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Accused Products
Abstract
A method is disclosed for automatically classifying and graphically visualizing image objects that are segmented and, given undershooting of a prescribed distance and compliance with a similarity criterion, are combined to form clusters. In at least one embodiment, for object classification, the method includes preselecting result data, using a prescribable selection criterion, from a result set of an application, executed in the background on an image data record of an imaging system, for feature extraction and automatic pattern recognition of segmented and clustered image objects, and/or rendered image data of an image rendering application, executed in the background, for two-dimensional and/or three-dimensional graphic visualization of these image objects; and/or marking the data in a graphically visible fashion as preselected on a screen of a screen terminal.
22 Citations
20 Claims
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1. A method for at least one of automatically classifying and graphically visualizing image objects that are segmented and, given undershooting of a distance and compliance with a similarity criterion, combined to form clusters, the method comprising at least one of:
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automatically preselecting at least one of result data, for object classification, using a prescribable attributive selection criterion, from a result set of an application, executed in a background on an image data record of an imaging system, for feature extraction and automatic pattern recognition of segmented and clustered image objects, and rendered image data of an image rendering application, executed in the background, for at least one of two-dimensional and three-dimensional graphic visualization of the image objects; and
marking the preselected data, in a graphically visible fashion, as preselected on a screen of a screen terminal. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 16, 17)
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12. A pattern recognition and image rendering system for at least one of automatically classifying and graphically visualizing image objects that are segmented and, given undershooting of a prescribed distance and compliance with a similarity criterion, are combined to form clusters, the system comprising:
a result filter to automatically preselect result data for object classification from a result set of an application, executed in a background on an image data record of an imaging system, for feature extraction and automatic pattern recognition of segmented and clustered image objects. - View Dependent Claims (13, 14, 15, 18, 19)
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20. A method for automatically classifying and graphically visualizing image objects that are segmented and, given undershooting of a distance and compliance with a similarity criterion, combined to form clusters, the method comprising:
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automatically preselecting at least one of result data, for object classification, using a prescribable attributive selection criterion, from a result set of an application, executed in a background on an image data record of an imaging system, for feature extraction and automatic pattern recognition of segmented and clustered image objects, and rendered image data of an image rendering application, executed in the background, for at least one of two-dimensional and three-dimensional graphic visualization of the image objects; and
marking the preselected data, in a graphically visible fashion, as preselected on a screen of a screen terminal.
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Specification