Image processing apparatus, image processing method, and non-transitory computer readable medium
First Claim
Patent Images
1. An image processing apparatus comprising:
- a first acquiring unit that acquires an image to be processed;
a setting unit that sets a plurality of partial image areas in the image to be processed;
a second acquiring unit that, for each of the plurality of partial image areas, acquires a first classification result indicating a possibility that an object of a specific kind is included in the partial image area; and
a generating unit that generates a second classification result indicating a possibility that the object of the specific kind is included in the image to be processed on the basis of the first classification results of the plurality of partial image areas,wherein the first classification result is a probability that the object of the specific kind is included, andwherein the generating unit generates the second classification result indicating the possibility that the object of the specific kind is included in the image to be processed on the basis of a sum or a product of the probabilities, which are the first classification results of the respective plurality of partial image areas, or a result of comparison between a number of the first classification results having the probabilities higher than or equal to a threshold value and a number of the first classification results having the probabilities lower than the threshold value.
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Abstract
An image processing apparatus includes a first acquiring unit that acquires an image to be processed; a setting unit that sets multiple partial image areas in the image to be processed; a second acquiring unit that acquires a first classification result indicating a possibility that an object of a specific kind is included in each of the multiple partial image areas; and a generating unit that generates a second classification result indicating a possibility that the object of the specific kind is included in the image to be processed on the basis of the first classification result of each of the multiple partial image areas.
1 Citation
11 Claims
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1. An image processing apparatus comprising:
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a first acquiring unit that acquires an image to be processed; a setting unit that sets a plurality of partial image areas in the image to be processed; a second acquiring unit that, for each of the plurality of partial image areas, acquires a first classification result indicating a possibility that an object of a specific kind is included in the partial image area; and a generating unit that generates a second classification result indicating a possibility that the object of the specific kind is included in the image to be processed on the basis of the first classification results of the plurality of partial image areas, wherein the first classification result is a probability that the object of the specific kind is included, and wherein the generating unit generates the second classification result indicating the possibility that the object of the specific kind is included in the image to be processed on the basis of a sum or a product of the probabilities, which are the first classification results of the respective plurality of partial image areas, or a result of comparison between a number of the first classification results having the probabilities higher than or equal to a threshold value and a number of the first classification results having the probabilities lower than the threshold value. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A non-transitory computer readable medium storing a program causing a computer to execute a process comprising:
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acquiring an image to be processed; setting a plurality of partial image areas in the image to be processed; acquiring, for each of the plurality of partial image areas, a first classification result indicating a possibility that an object of a specific kind is included in the partial image area; and generating a second classification result indicating a possibility that the object of the specific kind is included in the image to be processed on the basis of the first classification result of the plurality of partial image areas, wherein the first classification result is a probability that the object of the specific kind is included, and wherein the generating unit generates the second classification result indicating the possibility that the object of the specific kind is included in the image to be processed on the basis of a sum or a product of the probabilities, which are the first classification results of the respective plurality of partial image areas, or a result of comparison between a number of the first classification results having the probabilities higher than or equal to a threshold value and a number of the first classification results having the probabilities lower than the threshold value.
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11. An image processing method comprising:
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acquiring an image to be processed; setting a plurality of partial image areas in the image to be processed; acquiring, for each of the plurality of partial image areas, a first classification result indicating a possibility that an object of a specific kind is included in the partial image area; and generating a second classification result indicating a possibility that the object of the specific kind is included in the image to be processed on the basis of the first classification result of each of the plurality of partial image areas, wherein the first classification result is a probability that the object of the specific kind is included, and wherein the generating unit generates the second classification result indicating the possibility that the object of the specific kind is included in the image to be processed on the basis of a sum or a product of the probabilities, which are the first classification results of the respective plurality of partial image areas, or a result of comparison between a number of the first classification results having the probabilities higher than or equal to a threshold value and a number of the first classification results having the probabilities lower than the threshold value.
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Specification