Method and apparatus for detecting a desired behavior in digital image data
First Claim
1. An apparatus for detecting a desired behavior in digital image data comprising:
- input means for inputting digital image data;
accessing means for accessing, for each of a plurality of pixels of the digital image data, digital image data of each pixel and pixels surrounding each of the plurality of pixels in predetermined window dimensions;
orientation means for computing edge orientation values of the accessed digital image data, for each of the plurality of pixels;
histogramming means for histogramming, for each of the plurality of pixels, the computed edge orientation values; and
detecting means for detecting a presence of the desired behavior in each of the plurality of pixels for which the orientation histogram indicates a characteristic degree of orientation heterogeneity.
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Abstract
A method for detecting stellate lesions in digitized mammographic image data includes the steps of prestoring a plurality of reference images, calculating a plurality of features for each of the pixels of the reference images, and creating a binary decision tree from features of randomly sampled pixels from each of the reference images. Once the binary decision tree has been created, a plurality of features, preferably including an ALOE feature (analysis of local oriented edges), are calculated for each of the pixels of the digitized mammographic data. Each of these plurality of features of each pixel are input into the binary decision tree and a probability is determined, for each of the pixels, corresponding to the likelihood of the presence of a stellate lesion, to create a probability image. Finally, the probability image is spacially filtered to enforce local consensus among neighboring pixels and the spacially filtered image is output.
117 Citations
32 Claims
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1. An apparatus for detecting a desired behavior in digital image data comprising:
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input means for inputting digital image data; accessing means for accessing, for each of a plurality of pixels of the digital image data, digital image data of each pixel and pixels surrounding each of the plurality of pixels in predetermined window dimensions; orientation means for computing edge orientation values of the accessed digital image data, for each of the plurality of pixels; histogramming means for histogramming, for each of the plurality of pixels, the computed edge orientation values; and detecting means for detecting a presence of the desired behavior in each of the plurality of pixels for which the orientation histogram indicates a characteristic degree of orientation heterogeneity. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 27, 28, 29)
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14. A method for detecting a desired behavior in digital image data, comprising the steps of:
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(a) inputting digital image data; (b) accessing, for each of a plurality of pixels of the digital image data, digital image data of each pixel and pixels surrounding each of the plurality of pixels in predetermined window dimensions; (c) computing edge orientation values of the accessed digital image data, for each of the plurality of pixels; (d) histogramming, for each of the plurality of pixels, the computed edge orientation values; and (e) identifying a presence of the desired behavior in each of the plurality of pixels for which the orientation histogram indicates a characteristic degree of orientation heterogeneity. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 30, 31, 32)
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Specification