Methods, functional data, and systems for image feature translation
First Claim
Patent Images
1. A method of processing an image, comprising:
- using a computer to carry out the method of identifying one or more sub images which are associated with an image of one or more instrument panels of one or more devices;
identifying values represented by one or more located features within each sub image by using one or more templates, wherein each template includes one or more rules to assist in identifying the values and each template associated with a feature vector and the feature vector representing a shape of a particular sub image and coverage area of the particular sub image and angular position of the particular sub image within the image, and wherein each feature vector is represented as a collection of three pixel coordinates; and
using the values to generate one or more readings for one or more of the instrument panels of one or more of the devices, wherein the values are used to determine locations of the features within each of the sub images, each location for each feature is then calculated using an initial calibration coordinate points and the angular position to resolve the one or more readings.
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Abstract
Methods, functional data, and systems are provided for image feature translation. An image is decomposed into sub images, each sub image having its features identified by feature attributes. The feature attributes are used to identify a particular feature within each sub image. The orientation of the particular feature within the sub image is then mapped or calculated to a value. One or more of the mapped or calculated values are translated into a reading associated with an instrument. The reading is then optionally recorded or transmitted.
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Citations
20 Claims
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1. A method of processing an image, comprising:
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using a computer to carry out the method of identifying one or more sub images which are associated with an image of one or more instrument panels of one or more devices; identifying values represented by one or more located features within each sub image by using one or more templates, wherein each template includes one or more rules to assist in identifying the values and each template associated with a feature vector and the feature vector representing a shape of a particular sub image and coverage area of the particular sub image and angular position of the particular sub image within the image, and wherein each feature vector is represented as a collection of three pixel coordinates; and using the values to generate one or more readings for one or more of the instrument panels of one or more of the devices, wherein the values are used to determine locations of the features within each of the sub images, each location for each feature is then calculated using an initial calibration coordinate points and the angular position to resolve the one or more readings. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A machine-implemented system for capturing and processing images, comprising:
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a camera to capture an image within a machine-readable medium; a template embodied in a machine-readable medium that is uniquely associated with a sub image of the image; a feature vector embodied in a machine-readable medium for defining a feature within the sub image, wherein the feature vector identifies three coordinate points within the sub image for the feature of the sub image and the sub image representing a graphical symbol, and a shape for the graphical symbol also reflected in the feature vector along with its coverage area attributes within the image, and wherein a first pixel coordinate defines a center of the sub image, a second pixel coordinate defines an eastward or westward extension of the feature from the center of the sub image, and a third pixel coordinate defines a northward or southward extension of the feature from the center of the sub image; and a processing set of executable instructions to process on a machine and to extract a location of the feature within the sub image by using the template and the feature vector, and wherein the template includes one or more rules for the feature, and wherein the location is used along with initial calibration coordinates and a calculated angular orientation to generate a reading for the feature. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A machine-implemented system for capturing and processing images, comprising:
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an image capturing device that processes on a machine and that records a picture of an image in a machine-readable format accessible to the machine; and instructions that process on the machine that uses the image and a feature vector associated with the image to produce a reading for an instrument panel associated with the image, wherein the feature vector defines a feature of the reading via three pixel coordinates, one pixel coordinate defines a center for the instrument panel, a second pixel coordinate defines an eastward or westward extension of the feature, and a third pixel coordinate defines a northward or southward extension of the feature, and wherein the feature via the feature vector has its location resolved within the image via a template and after the location is known, initial calibration coordinate points and a calculated angular orientation are used to determine the reading. - View Dependent Claims (18, 19, 20)
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Specification