Classifying image features
First Claim
Patent Images
1. A method comprising:
- decomposing a set of spectral images of a sample into an unmixed image set, wherein each member of the unmixed image set corresponds to a spectral contribution from a different component in the sample; and
classifying different parts of the sample into respective classes based on an image stack comprising one or more of the unmixed images.
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Abstract
Methods are disclosed for classifying different parts of a sample into respective classes based on an image stack that includes one or more images.
124 Citations
45 Claims
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1. A method comprising:
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decomposing a set of spectral images of a sample into an unmixed image set, wherein each member of the unmixed image set corresponds to a spectral contribution from a different component in the sample; and
classifying different parts of the sample into respective classes based on an image stack comprising one or more of the unmixed images. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 37, 40, 43)
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14. A method for classifying different parts of a sample into respective classes based on an image stack comprising one or more images, the method comprising:
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positioning a sampling window within the image stack to select a portion of the image stack for classification, the selected portion comprising multiple pixels;
classifying the selected portion into one of several classes, wherein each of the pixels in the selected portion are provisionally classified as having the same class as that of the selected portion;
translating the sampling window to select a second portion of the image stack for classification and classifying the second portion into one of several classes, wherein each of the pixels in the second portion are provisionally classified as having the same class as that of the second portion;
repeating the translating and classifying for additional portions of the image stack until at least some of the pixels in the image stack have been provisionally classified multiple times as part of different portions selected by the sampling window; and
classifying each of at least some of the pixels that have been provisionally classified multiple times into one of the several classes based on their multiple provisional classifications. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 38, 41, 44)
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- 36. A method for classifying different parts of a sample into respective classes based on an image stack comprising more than three spectral images, the method comprising classifying different regions of the image stack into respective classes based on the set of more than three spectral images, wherein each region comprises multiple pixels so that each classification involves both spectral and spatial information.
Specification