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Method for determining a property map of an object, particularly of a living being, based on at least a first image, particularly a magnetic resonance image

It is disclosed a system and method (12) for determining a property map (82) of an object, particularly a human being, based on at least a first image (84), particularly an magnetic resonance (MR) image, of the object. In the method (12), a structure of reference pairs is defined in a first step (96), wherein each reference pair (16-26) comprises at least two entries (62). The first entry represents a property value, particularly an attenuation value. The second entry (62) preferably represents a group of image points (67) belonging together, which is extracted particularly from MR images (28) and comprises an interesting image point corresponding to the property value. In another step (98) of the method (12) a plurality of training pairs (16-26) is provided. A structure of the training pairs (16-26) corresponds to the structure of reference pairs, and the entries of respective training pairs (16-26) are known. In another step (100) of the method (12), an assignment between the first entries and the other entries (62-66) of the training pairs (16-26) is determined by machine learning, thus allowing prediction of a property value (88) corresponding to an arbitrary point (90) of the first image (84).
Owner:UNIV TUBINGEN +1

Method and apparatus for editing performance data with modification of icons of musical symbols

A performance data editing system is actualized by a computer system (or electronic musical instrument) which is equipped with a display and a mouse. The system initially provides a score window containing various types of execution icon layers onto which execution icons (representing musical symbols such as bend-up / down, grace-up / down, dynamics, glissando, tremolo) are attached and arranged in conformity with a progression of a musical tune on a screen of the display. Each of the layers is independently controlled in response to various commands such as display-on, small-scale display, display-off and vertical rearrangement. The system allows a user (or music editor) to select desired execution icons from an icon select palette that provides lists of execution icons which are registered in advance. In addition, the system also allows the user to modify parameters of a specific icon which is selected from among the execution icons attached onto the score window. That is, the user opens an icon modify window to change parameters of the specific icon with the mouse. Further, the system provides the user with a simple operation for deletion of execution-related data from performance data. That is, when the user performs drag-and-drop operations on a certain execution icon to move it outside of a prescribed display area (e.g., layer window) of the score window, the system automatically deletes the corresponding execution-related data from the performance data. Thus, it is possible to improve performability and efficiency in editing performance data by using icons with simple operations and without errors.
Owner:YAMAHA CORP

Fast high-accuracy multi-dimensional pattern inspection

InactiveUS6975764B1Arbitrary precisionLimit inspection performanceImage analysisCharacter and pattern recognitionImaging FeatureDigital image
A method and apparatus are provided for identifying differences between a stored pattern and a matching image subset, where variations in pattern position, orientation, and size do not give rise to false differences. The invention is also a system for analyzing an object image with respect to a model pattern so as to detect flaws in the object image. The system includes extracting pattern features from the model pattern; generating a vector-valued function using the pattern features to provide a pattern field; extracting image features from the object image; evaluating each image feature, using the pattern field and an n-dimensional transformation that associates image features with pattern features, so as to determine at least one associated feature characteristic; and using at least one feature characteristic to identify at least one flaw in the object image. The invention can find at least two distinct kinds of flaws: missing features, and extra features. The invention provides pattern inspection that is faster and more accurate than any known prior art method by using a stored pattern that represents an ideal example of the object to be found and inspected, and that can be translated, rotated, and scaled to arbitrary precision much faster than digital image re-sampling, and without pixel grid quantization errors. Furthermore, since the invention does not use digital image re-sampling, there are no pixel quantization errors to cause false differences between the pattern and image that can limit inspection performance.
Owner:COGNEX CORP

Method and circuit for timing pulse generation

In a method and a circuit for timing pulse generation, a frame pulse of a corresponding system is masked when an alarm signal of either a working system or a protection system is received, a monitoring window which indicates an absorbable range of delay time difference between the frame pulses is generated upon an arrival of the frame pulse of the system selected by a switching signal, when the alarm signal of a system not selected is generated upon selection of the switching signal. Alternatively, a request signal for regenerating the monitoring window which indicates an absorbable range of delay time difference between the frame pulses is provided upon an arrival of the frame pulse of the system selected by the switching signal, when a slip signal is generated upon selection of the switching signal. The monitoring window is generated around the frame pulse selected by the switching signal when the monitoring window generation request signal is received, a read timing pulse common to memories of both systems is generated at a predetermined timing position, and the monitoring window is regenerated when the selected frame pulse deviates from the monitoring window. Alternatively, a correction signal including a number and a direction of bits when a reference timing pulse not selected deviates from the monitoring window is generated to be transmitted, the correction signal is extracted from a main signal received, and a position of the reference timing pulse of the protection system is corrected based on the correction signal, when the protection system is presently selected.
Owner:FUJITSU LTD

Method for determining a property map of an object, particularly of a living being, based on at least a first image, particularly a magnetic resonance image

It is disclosed a system and method (12) for determining a property map (82) of an object, particularly a human being, based on at least a first image (84), particularly an magnetic resonance (MR) image, of the object. In the method (12), a structure of reference pairs is defined in a first step (96), wherein each reference pair (16-26) comprises at least two entries (62). The first entry represents a property value, particularly an attenuation value. The second entry (62) preferably represents a group of image points (67) belonging together, which is extracted particularly from MR images (28) and comprises an interesting image point corresponding to the property value. In another step (98) of the method (12) a plurality of training pairs (16-26) is provided. A structure of the training pairs (16-26) corresponds to the structure of reference pairs, and the entries of respective training pairs (16-26) are known. In another step (100) of the method (12), an assignment between the first entries and the other entries (62-66) of the training pairs (16-26) is determined by machine learning, thus allowing prediction of a property value (88) corresponding to an arbitrary point (90) of the first image (84).
Owner:UNIV TUBINGEN +1
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