Device, method and program on a storage medium to adjust dictionary data related to objects with specific features
AssigneeFujitsu Limited
InventorShanshan Yu
Life of this patent
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Abstract
An image processing device includes a dictionary data storage unit to store dictionary data regarding features that a plurality of objects has, an arithmetic unit to compute feature data of an input image based on information of the input image that includes an object with a specific feature among the plurality of objects, and a calculation unit to calculate a parameter for adjusting the dictionary data regarding the object with the specific feature based on the feature data and the dictionary data.
Claims16
An image processing device, comprising:
- a storage unit configured to store dictionary data related to features of a plurality of objects;
- and
- a processor that executes:
- an arithmetic process to compute feature data of an input image based on information of the input image that includes an object with a specific feature among the plurality of objects, the specific feature being a subset of the features of the plurality of objects;
- and
- a calculation process to calculate a parameter for adjusting the dictionary data related to the object with the specific feature based on the feature data and the dictionary data, wherein
- the arithmetic process sets a plurality of areas in the input image and computes the feature data for each of the plurality of the areas by comparing a coefficient value that is obtained by applying wavelet conversion to each of the plurality of areas with a predetermined threshold value;
- the storage unit stores the dictionary data in association with area information related to the plurality of areas;
- and
- the calculation process refers to the storage unit and calculates the parameter for each of the plurality of areas based on the feature data computed by the arithmetic process and the dictionary data.
An image processing method executed by a computer, the method comprising:
- computing feature data of an input image based on information of the input image that includes an object with a specific feature among a plurality of objects;
- calculating a parameter for adjusting dictionary data related to the object with the specific feature based on the dictionary data stored in a dictionary data storage unit that stores dictionary data related to features of the plurality of objects and the computed feature data, wherein the specific feature is a subset of the features of the plurality of objects,
- setting a plurality of areas in the input image and computing the feature data for each of the plurality of the areas by comparing a coefficient value that is obtained by applying wavelet conversion to each of the plurality of areas with a predetermined threshold value;
- and
- referring to the dictionary data storage unit that stores area information regarding the plurality of areas, and the dictionary data, and calculating the parameter for each of the plurality of areas based on the feature data and the dictionary data.
A non-transitory storage medium storing an image processing program, the image processing program causing a computer to execute:
- computing feature data of an input image based on information of the input image that includes an object with a specific feature among a plurality of objects;
- calculating a parameter for adjusting dictionary data related to the object with the specific feature based on the dictionary data stored in a dictionary data storage unit that stores dictionary data related to features that the plurality of objects has and the computed feature data, wherein the specific feature is a subset of the features of the plurality of objects;
- setting a plurality of areas in the input image and computing the feature data for each of the plurality of the areas by comparing a coefficient value that is obtained by applying wavelet conversion to each of the plurality of areas with a predetermined threshold value;
- and
- referring to the dictionary data storage unit that stores area information regarding the plurality of areas, and the dictionary data, and calculating the parameter for each of the plurality of areas based on the feature data and the dictionary data.
Dependencies are inferred from the claim text.