Back to results
US 7,555,155 B2Granted
Classifying image features
AssigneeCambridge Research & Instrumentation, Inc.
InventorsRichard Levenson, Clifford C. Hoyt, Kirk William Gossage
Life of this patent
Estimating the term…
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.
Claims44
A method comprising using one or more processors to perform the following steps:
- 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;
- generating a composite image based on the set of spectral images of the sample, wherein the spatial intensities of two or more different members of a group consisting of the spectral images and the unmixed images are weighted differently and combined to produce the composite image, and
- classifying different parts of the sample into respective classes based on an image stack comprising one or more of the unmixed images and further comprising the composite image.
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 using one or more processors to perform the following steps:
- 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.
3 more elements
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 using one or more processors to perform the following steps:
- generating a composite image based on the spectral images of the sample, wherein the spatial intensities of two or more different members of the spectral images are weighted differently and combined to produce the composite image;
- and
- 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 and wherein the image stack comprise the composite image.
Apparatus comprising:
- a means for obtaining a set of spectral images of a sample;
- and
- an electronic processor coupled to the means and configured to:
- i) decompose the set of spectral images 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;
- ii) generate a composite image based on the set of spectral images of the sample, wherein the spatial intensities of two or more different members of a group consisting of the spectral images and the unmixed images are weighted differently and combined to produce the composite image, and iii) classify different parts of the sample into respective classes based on an image stack comprising one or more of the unmixed images and further comprising the composite image.
2 more elements
Apparatus for classifying different parts of a sample into respective classes based on an image stack comprising one or more images comprising:
- a means for obtaining the one or more images;
- and
- an electronic processor coupled to the means and configured to:
- i) position a sampling window within the image stack to select a portion of the image stack for classification, the selected portion comprising multiple pixels;
- ii) classify 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;
- iii) translate 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;
- iv) repeat 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 v) classify 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.
5 more elements
Apparatus for classifying different parts of a sample into respective classes based on an image stack comprising more than three spectral images comprising:
- a means for obtaining the spectral images;
- and
- an electronic processor coupled to the means and configured to:
- i) generate a composite image based on the spectral images of the sample, wherein the spatial intensities of two or more different members of the spectral images are weighted differently and combined to produce the composite image;
- and ii) classify 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 and wherein the image stack comprise the composite image.
2 more elements
Apparatus comprising:
- an optical system for obtaining a set of spectral images of a sample;
- and
- an electronic processor coupled to the optical system and configured to:
- i) decompose the set of spectral images 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;
- ii) generate a composite image based on the set of spectral images of the sample, wherein the spatial intensities of two or more different members of a group consisting of the spectral images and the unmixed images are weighted differently and combined to produce the composite image, and iii) classify different parts of the sample into respective classes based on an image stack comprising one or more of the unmixed images and further comprising the composite image.
2 more elements
Apparatus for classifying different parts of a sample into respective classes based on an image stack comprising one or more images comprising:
- an optical system for obtaining the one or more images;
- and
- an electronic processor coupled to the optical system and configured to:
- i) position a sampling window within the image stack to select a portion of the image stack for classification, the selected portion comprising multiple pixels;
- ii) classify 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;
- iii) translate 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;
- iv) repeat 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 v) classify 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.
5 more elements
Apparatus for classifying different parts of a sample into respective classes based on an image stack comprising more than three spectral images comprising:
- an optical system for obtaining the spectral images;
- and
- an electronic processor coupled to the optical system and configured to:
- i) generate a composite image based on the spectral images of the sample, wherein the spatial intensities of two or more different members of the spectral images are weighted differently and combined to produce the composite image;
- and ii) classify 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 and wherein the image stack comprise the composite image.
2 more elements
Dependencies are inferred from the claim text.