6. 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.
6. 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. 10. The image processing method according to claim 6 , further comprising: calculating a likelihood value between the feature data and the dictionary data and calculating the parameter based on the likelihood value.