Image identifying apparatus
First Claim
1. An apparatus for identifying an image represented by digital image data, comprising:
- means for extracting feature data from the digital image data representing predetermined color features of the whole image to be identified;
first means for storing a plurality of categories corresponding to color features;
second means for storing a plurality of target image data grouped based on the color features of the categories respectively;
means for selecting one of the categories corresponding to a color feature of the digital image data from the first storing means;
means for comparing the digital image data with the plurality of target image data grouped by the category selected by the selecting means;
means for determining a most similar target image data in the plurality of image data in the second storing means grouped by the selected categories based on a comparison result by the comparing means; and
means for determining a similarity between the digital image data and the target image data in the second storing means grouped by the selected category by the selecting means.
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Abstract
Apparatus and method for identifying the color image of an object. The object'"'"'s image is digitized and a cut-off portion of the image containing the object is determined. The cut-off portion image data is normalized. Selected pixels of the normalized image are subjected to an averaging process to provide an averaged image containing R, G, and B color components. H, V, and C components of the averaged image data are computed, and their V, c, and d components are computed from the H, V, and C components. A color feature extractor computes from the c and d component data a parameter representative of the object to be identified. This parameter is provided to a memory controller to retrieve from a memory that stores target images one or more images categorized according to the computed parameter. A matching section matches each retrieved target image with the Vcd component data and determines which target image is most similar.
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Citations
20 Claims
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1. An apparatus for identifying an image represented by digital image data, comprising:
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means for extracting feature data from the digital image data representing predetermined color features of the whole image to be identified; first means for storing a plurality of categories corresponding to color features; second means for storing a plurality of target image data grouped based on the color features of the categories respectively; means for selecting one of the categories corresponding to a color feature of the digital image data from the first storing means; means for comparing the digital image data with the plurality of target image data grouped by the category selected by the selecting means; means for determining a most similar target image data in the plurality of image data in the second storing means grouped by the selected categories based on a comparison result by the comparing means; and means for determining a similarity between the digital image data and the target image data in the second storing means grouped by the selected category by the selecting means. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 18)
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14. An apparatus for identifying an image represented by digital image data, comprising:
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a first circuit, coupled to receive predetermined positions of the digital image data, to compute a category parameter representative of predetermined color features; a first memory to store a plurality of categories corresponding to color features; a second memory to store a plurality of target image data grouped based on the color features of the categories respectively; a memory controller to select one of the categories corresponding to a color feature of the digital image data from the first memory; a second circuit to compare the digital image data with the plurality of target image data grouped by the category selected by the memory controller for determining a most similar target image data in the plurality of image data in the second memory grouped by the selected categories based on the comparison result; and a third circuit, coupled to receive the digital image data and the selected category, to determine a similarity parameter representative of a similarity between the digital image data and the target image data in the second memory grouped by the selected category. - View Dependent Claims (15, 16, 19)
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17. A system for identifying an image represented by digital image data, comprising:
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means for forming a digital image which includes an object to be identified; means for determining a cut-off portion of the digital image containing the object to be identified; means for normalizing digital image data corresponding to the cut-off portion of the image; means for computing average image data for selected pixels of the normalized image data; means for extracting color features corresponding to predetermined ones of a predetermined color components, the color features representing the digital image; a first memory to store a plurality of categories corresponding to color features; a second memory to store a plurality of target image data grouped based on the color features of the categories respectively; means for selecting one of the categories corresponding to a color feature of the digital image data from the first memory; and means for determining a similarity between the target image data in the second memory grouped by the selected category and the predetermined color components of the digital image data. - View Dependent Claims (20)
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Specification