Image processing device, information storage device, and image processing method
First Claim
1. An image processing device comprising:
- an input reception section that performs a process that receives a learning image and a correct answer label assigned to the learning image;
a processing section that performs a process that generates classifier data that is used to classify an image, and a processing target image that is used to generate the classifier data; and
a storage section that stores the generated classifier data,the processing section generating the processing target image that is the entirety or part of the learning image, calculating a feature quantity of the processing target image, generating the classifier data based on training data that is a set of the feature quantity and the correct answer label that is assigned to the learning image that corresponds to the feature quantity, generating an image group based on the learning image or the processing target image, classifying each image of the generated image group using the classifier data to calculate a classification score of each image of the image group, and regenerating the processing target image based on the calculated classification score and the image group.
2 Assignments
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Accused Products
Abstract
An image processing device includes an input reception section that receives a learning image and a correct answer label, a processing section that performs a process that generates classifier data and a processing target image, and a storage section. The processing section generates the processing target image that is the entirety or part of the learning image, calculates a feature quantity of the processing target image, generates the classifier data based on training data that is a set of the feature quantity and the correct answer label assigned to the learning image that corresponds to the feature quantity, generates an image group based on the learning image or the processing target image, classifies each image of the image group using the classifier data to calculate a classification score of each image, and regenerates the processing target image based on the classification score and the image group.
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Citations
19 Claims
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1. An image processing device comprising:
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an input reception section that performs a process that receives a learning image and a correct answer label assigned to the learning image; a processing section that performs a process that generates classifier data that is used to classify an image, and a processing target image that is used to generate the classifier data; and a storage section that stores the generated classifier data, the processing section generating the processing target image that is the entirety or part of the learning image, calculating a feature quantity of the processing target image, generating the classifier data based on training data that is a set of the feature quantity and the correct answer label that is assigned to the learning image that corresponds to the feature quantity, generating an image group based on the learning image or the processing target image, classifying each image of the generated image group using the classifier data to calculate a classification score of each image of the image group, and regenerating the processing target image based on the calculated classification score and the image group. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A non-transitory information storage device storing a program that causes a computer to perform steps of:
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performing a process that receives a learning image and a correct answer label assigned to the learning image; performing a process that generates classifier data that is used to classify an image, and a processing target image that is used to generate the classifier data; and storing the generated classifier data, while regenerating the processing target image that is the entirety or part of the learning image, calculating a feature quantity of the processing target image, generating the classifier data based on training data that is a set of the feature quantity and the correct answer label that is assigned to the learning image that corresponds to the feature quantity, generating an image group based on the learning image or the processing target image, classifying each image of the generated image group using the classifier data to calculate a classification score of each image of the image group, and regenerating the processing target image based on the calculated classification score and the image group.
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19. An image processing method comprising:
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performing a process that receives a learning image and a correct answer label assigned to the learning image; generating a processing target image that is used to generate classifier data that is used to classify an image, the processing target image being the entirety or part of the learning image; calculating a feature quantity of the processing target image; generating the classifier data based on training data that is a set of the feature quantity and the correct answer label that is assigned to the learning image that corresponds to the feature quantity; generating an image group based on the learning image or the processing target image; classifying each image of the generated image group using the classifier data to calculate a classification score of each image of the image group; regenerating the processing target image based on the calculated classification score and the image group; and storing the generated classifier data.
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Specification