Systems and Methods for Object Identification
First Claim
Patent Images
1. A system for identifying objects in an image, the system comprising:
- a database comprising a multi-channel input image of a sample;
a collapsing element utilizing a signal function to transform the multi-channel input image into a single-channel image defining an image domain having a plurality of localized extrema,a thresholding element to iteratively apply a varying threshold value to the single-channel image to segment objects in the image;
an assignment element utilizing a merit function that assigns merit function values to segmented objects to determine qualified objects in the image;
a classification element for classifying at least some of the qualified objects as detected objects;
an organizing element for creating at least one data structure utilizing the detected objects such that each data structure consists of detected objects at approximately the same location in the image domain; and
an identification element for selecting at least some of the detected objects utilizing the created data structures.
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Abstract
Systems and methods for object identification. Objects in a color image of a biological sample are identified by using a signal function to transform the color image into a single-channel image with localized extrema. The localized extrema may be segmented into objects by an iterative thresholding process and a merit function may be used to determine the quality of a given result.
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Citations
25 Claims
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1. A system for identifying objects in an image, the system comprising:
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a database comprising a multi-channel input image of a sample; a collapsing element utilizing a signal function to transform the multi-channel input image into a single-channel image defining an image domain having a plurality of localized extrema, a thresholding element to iteratively apply a varying threshold value to the single-channel image to segment objects in the image; an assignment element utilizing a merit function that assigns merit function values to segmented objects to determine qualified objects in the image; a classification element for classifying at least some of the qualified objects as detected objects; an organizing element for creating at least one data structure utilizing the detected objects such that each data structure consists of detected objects at approximately the same location in the image domain; and an identification element for selecting at least some of the detected objects utilizing the created data structures. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method of identifying objects in an image, the method comprising:
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providing a multi-channel image of a sample; applying a signal function to the multi-channel image to create a single-channel image defining an image domain having a plurality of localized extrema; iteratively applying a varying threshold value to the single-channel image to segment objects in the image; iteratively computing merit function values of segmented objects to determine qualified objects in the image; classifying at least some of the qualified objects as detected objects; creating at least one data structure utilizing the detected objects such that each data structure consists of detected objects at approximately the same location in the image domain; and selecting at least some of the detected objects utilizing the created data structures. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25)
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Specification