Automated pharmaceutical pill identification
First Claim
1. A computer-implemented method for identifying a pharmaceutical composition, the method comprising:
- receiving a set of features of a first image of the pharmaceutical composition from a first point of view;
receiving a set of features of a second image of the pharmaceutical composition from a second point of view different from the first point of view;
generating a feature vector associated with each image of the pharmaceutical composition that includes the features received for that image and one or more features appended from another image;
applying a plurality of classifiers to each of the feature vectors to determine a set of classifications associated with each image, wherein each classification is associated with a score; and
determining a pill identification by accumulating the score associated with each classification for each image in the set of images.
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Abstract
A pill identification system identifies a pill type for a pharmaceutical composition from images of the pharmaceutical composition. The system extracts features from images taken of the pill. The features extracted from the pill image include color, size, shape, and surface features of the pill. In particular, the features include rotation-independent surface features of the pill that enable the pill to be identified from a variety of orientations when the images are taken. The feature vectors are applied to a classifier that determines a pill identification for each image. The pill identification for each image is scored to determine identification for the pharmaceutical composition.
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Citations
18 Claims
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1. A computer-implemented method for identifying a pharmaceutical composition, the method comprising:
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receiving a set of features of a first image of the pharmaceutical composition from a first point of view; receiving a set of features of a second image of the pharmaceutical composition from a second point of view different from the first point of view; generating a feature vector associated with each image of the pharmaceutical composition that includes the features received for that image and one or more features appended from another image; applying a plurality of classifiers to each of the feature vectors to determine a set of classifications associated with each image, wherein each classification is associated with a score; and determining a pill identification by accumulating the score associated with each classification for each image in the set of images. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A computer-implemented method for identifying a pharmaceutical composition, the method comprising:
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receiving a set of features for a first image of the pharmaceutical composition from a first point of view and a set of features of a second image of the pharmaceutical composition from a second point of view different from the first point of view, wherein the received features are developed for each image by; identifying, in the image, an outline of the pharmaceutical composition; calculating, from the image, a characterization of the image based at least in part on the identified outline; reducing the resolution of the characterization of the image; extracting, from the reduced resolution characterization of the image, features indicative of surface features of the image which comprise at least a portion of the features developed for the image; appending to the set of features one or more features from another image in the set of images; providing the set of features for each image to a classification module; training a set of hierarchical classifiers based at least in part on the set of features for each image; determining a pharmaceutical composition identification by; applying the set of hierarchical classifiers to the set of features for each image to determine a set of classifications associated with each image, wherein each classification is associated with a score; and accumulating the score associated with each classification for each image in the set of images. - View Dependent Claims (16, 17, 18)
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Specification