Automated pharmaceutical pill identification
First Claim
1. A computer-implemented method for identifying a pharmaceutical composition, the method comprising:
- accessing a set of images of the pharmaceutical composition, the set of images including;
a first image of the pharmaceutical composition from a first point of view, anda second image of the pharmaceutical composition from a second point of view different from the first point of view;
extracting features from each image of the pharmaceutical composition in the set of images, the features including a rotationally-independent measure of surface features of the pharmaceutical composition in the image, wherein the rotationally-independent measure of surface features describes surface features of the pharmaceutical composition with respect to a radial distance from a point in the image of the pharmaceutical composition;
generating a feature vector associated with each image of the pharmaceutical composition that includes the features extracted for that image and one or more features appended from another image in the set of images;
applying at least one classifier to each of the feature vectors to determine at least one classification associated with each image; and
determining a pill identification by accumulating the at least one classification for each image.
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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.
34 Citations
19 Claims
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1. A computer-implemented method for identifying a pharmaceutical composition, the method comprising:
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accessing a set of images of the pharmaceutical composition, the set of images including; a first image of the pharmaceutical composition from a first point of view, and a second image of the pharmaceutical composition from a second point of view different from the first point of view; extracting features from each image of the pharmaceutical composition in the set of images, the features including a rotationally-independent measure of surface features of the pharmaceutical composition in the image, wherein the rotationally-independent measure of surface features describes surface features of the pharmaceutical composition with respect to a radial distance from a point in the image of the pharmaceutical composition; generating a feature vector associated with each image of the pharmaceutical composition that includes the features extracted for that image and one or more features appended from another image in the set of images; applying at least one classifier to each of the feature vectors to determine at least one classification associated with each image; and determining a pill identification by accumulating the at least one classification for each image. - 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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accessing a set of images of the pharmaceutical composition, the set of images including; a first image of the pharmaceutical composition from a first point of view, and a second image of the pharmaceutical composition from a second point of view different from the first point of view; developing a set of features for each image, wherein the features are developed for each image by; identifying, in the image, an outline of the pharmaceutical composition; calculating, from the image, a rotationally-independent characterization of the image based at least in part on the identified outline, wherein the rotationally-independent characterization describes surface features of the pharmaceutical composition with respect to a radial distance from a point in the image of the pharmaceutical composition; reducing the resolution of the rotationally-independent characterization of the image; extracting, from the reduced resolution rotationally-independent 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; and providing the set of features for each image to a classification module for classifier training for pharmaceutical composition identification. - View Dependent Claims (16, 17, 18, 19)
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Specification