Image processor, image processing method, and recorded medium
First Claim
Patent Images
1. An image processing apparatus comprising:
- extracting means for extracting a feature region from a region of an object in an image, in accordance with a luminance distribution of a plurality of pixels adjacent to a predetermined pixel,wherein the extracting means includes feature region extracting means for extracting the predetermined pixel as a pixel existing in the feature region, when a dynamic range is greater than a predetermined value;
calculating means for calculating a gravity-center correlation value that shows the correlation between the gravity center of the feature region and the gravity center of the image region of the object; and
determining means for determining an orientation of the object from the gravity-center correlation value.
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Abstract
A feature region is extracted from the image region of an object, in accordance with the luminance distribution of pixels adjacent to a predetermined pixel that exists in the image region of the object (S31 to S34). A gravity-center correlation value is calculated, which shows the correlation between the gravity center of the feature region and the gravity center of the image region of the object (S35 and S36). The orientation of the object is determined from the gravity-center correlation value (S37).
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Citations
66 Claims
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1. An image processing apparatus comprising:
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extracting means for extracting a feature region from a region of an object in an image, in accordance with a luminance distribution of a plurality of pixels adjacent to a predetermined pixel, wherein the extracting means includes feature region extracting means for extracting the predetermined pixel as a pixel existing in the feature region, when a dynamic range is greater than a predetermined value; calculating means for calculating a gravity-center correlation value that shows the correlation between the gravity center of the feature region and the gravity center of the image region of the object; and determining means for determining an orientation of the object from the gravity-center correlation value. - View Dependent Claims (2, 3, 4)
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5. An image processing apparatus comprising:
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extracting means for extracting a feature region from an image region of an object, in accordance with a luminance distribution of pixels adjacent to a predetermined pixel; classifying means for classifying each pixel existing in the feature region into one of a plurality of classes; distribution table generating means for generating an objective frequency distribution table which shows a frequency distribution of pixels in each class; and determining means for determining an orientation of the object in accordance with the objective frequency distribution table. - View Dependent Claims (6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. An image processing apparatus comprising:
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determining means for determining an orientation of an object; extracting means for extracting a feature region from a region of an object in each image which corresponds to an orientation of the object, in accordance with a luminance distribution of a plurality of pixels adjacent to a predetermined pixel existing in each image, wherein the extracting means includes feature region extracting means for extracting the predetermined pixel as a pixel existing in the feature region, when a dynamic range is greater than a predetermined value; calculating means for calculating a gravity-center correlation value that shows the correlation between the gravity center of the feature region and the gravity center of the region of the object in each image; and generating means for generating relation information which shows the relation between the gravity-center correlation value and an orientation of the object. - View Dependent Claims (17, 18)
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19. An image processing apparatus comprising:
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determining means for determining an orientation of an object; extracting means for extracting a feature region from a image region of the object in each image which corresponds to an orientation of the object, in accordance with a luminance distribution of a plurality of pixels corresponding to an predetermined pixel existing in each image; classifying means for classifying each pixel existing in the feature region, into one of a plurality of classes; distribution generating means for generating a reference frequency distribution table which is a frequency distribution of a number of pixels, which are classified in the classifying means, in each class; gravity-center calculating means for calculating a gravity center of an image region consisting of pixels in each class, which pixels are classified in the classifying means; object gravity-center calculating means for calculating a gravity center of the image region of the object; gravity-center correlation calculating means for calculating a gravity-center correlation value that shows correlation between the gravity center of the feature region and the gravity center of the region of the object in each class; and relation information calculating means for calculating relation information values in accordance with the gravity-center correlation information value of each class, the reference frequency distribution table and the orientation of the object. - View Dependent Claims (20, 21, 22)
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23. An image processing apparatus comprising:
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acquiring means for acquiring images of an orientation of an object, in association with information about an orientation of the object; extracting means for extracting a feature region from the image region of the object, for the orientation data, in accordance with a luminance distribution of a plurality of pixels corresponding to a predetermined pixel; classifying means for classifying each pixel existing in the feature region into one of a plurality of classes; distribution table generating means for generating a frequency distribution table of a number of pixels, which pixels are classified in the classifying means, in each class; correlation generating means for generating a frequency-distribution correlation value that shows correlation between one distribution table called a reference histogram and at least one of the other distribution tables called objective histograms, which distribution tables are generated in the distribution generating means; and relation information generating means for generating relation information which shows relation between the frequency distribution correlation value and the orientation information. - View Dependent Claims (24)
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25. An image processing method comprising the steps of:
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extracting a feature region from a region of an object in an image, in accordance with a luminance distribution of a plurality of pixels adjacent to a predetermined pixel; extracting the predetermined pixel as a pixel existing in the feature region, when a dynamic range is greater than a predetermined value; calculating a gravity-center correlation value that shows the correlation between the gravity center of the feature region and the gravity center of the image region of the object; and determining an orientation of the object from the gravity-center correlation value. - View Dependent Claims (26, 27, 28)
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29. An image processing method comprising the steps of:
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extracting a feature region from an image region of an object, in accordance with a luminance distribution of pixels adjacent to a predetermined pixel; classifying each pixel included in the feature region into one of a plurality of classes; generating an objective frequency distribution table which shows a frequency distribution of pixels in each class; and determining an orientation of the object in accordance with the objective frequency distribution table. - View Dependent Claims (30, 31, 32, 33, 34, 35, 36, 37, 38, 39)
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40. An image processing method comprising the steps of:
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determining an orientation of an object; extracting a feature region from a region of an object in each image which corresponds to an orientation of the object, in accordance with a luminance distribution of a plurality of pixels adjacent to a predetermined pixel existing in each image; extracting the predetermined pixel as a pixel existing in the feature region, when a dynamic range is greater than a predetermined value; calculating a gravity-center correlation value that shows the correlation between the gravity center of the feature region and the gravity center of the region of the object in each image; and generating relation information which shows the relation between the gravity-center correlation value and an orientation of the object. - View Dependent Claims (41, 42)
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43. An image processing method comprising the steps of:
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determining an orientation of an object; extracting a feature region from a image region of the object in each image which corresponds to an orientation of the object, in accordance with a luminance distribution of a plurality of pixels corresponding to an predetermined pixel existing in each image; classifying each pixel existing in the feature region, into one of a plurality of classes; generating a reference frequency distribution table which is a frequency distribution of a number of pixels, which are classified in the classifying step, in each class; calculating a gravity center of an image region consisting of pixels in each class, which pixels are classified in the classifying step; calculating a gravity center of the image region of the object; calculating a gravity-center correlation value that shows correlation between the gravity center of the feature region and the gravity center of the region of the object in each class; and calculating relation information values in accordance with the gravity-center correlation information value of each class, the reference frequency distribution table and the orientation of the object. - View Dependent Claims (44, 45, 46)
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47. An image processing method comprising the steps of:
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acquiring images of an orientation of an object, in association with information about an orientation of the object; extracting a feature region from the image region of the object, for the orientation data, in accordance with a luminance distribution of a plurality of pixels corresponding to a predetermined pixel; classifying each pixel existing in the feature region into one of a plurality of classes; generating a frequency distribution table of a number of pixels, which pixels are classified in the classifying step, in each class; generating a frequency-distribution correlation value that shows correlation between one distribution table called a reference histogram and at least one of the other distribution tables called objective histograms, which distribution tables are generated in the distribution generating step; and generating relation information which shows relation between the frequency distribution correlation value and the orientation information. - View Dependent Claims (48)
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49. A recording medium for storing a computer-controllable program, said computer-controllable program comprising the steps of:
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extracting a feature region from a region of an object in an image, in accordance with a luminance distribution of a plurality of pixels adjacent to a predetermined pixel; extracting the predetermined pixel as a pixel existing in the feature region, when a dynamic range is greater than a predetermined value; calculating a gravity-center correlation value that shows the correlation between the gravity center of the feature region and the gravity center of the image region of the object; and determining an orientation of the object from the gravity-center correlation value. - View Dependent Claims (50, 51)
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52. A recording medium for storing a computer-controllable program, said computer-controllable program comprising the steps of:
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extracting a feature region from an image region of an object, in accordance with a luminance distribution of pixels adjacent to a predetermined pixel; classifying each pixel included in the feature region into one of a plurality of classes; generating an objective frequency distribution table which shows a frequency distribution of pixels in each class; and determining an orientation of the object in accordance with the objective frequency distribution table. - View Dependent Claims (53, 54, 55, 56, 57, 58, 59, 60, 61, 62)
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63. A recording medium for storing a computer-controllable program, said computer-controllable program comprising the steps of:
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determining an orientation of an object; extracting a feature region from a region of an object in each image which corresponds to an orientation of the object, in accordance with a luminance distribution of a plurality of pixels adjacent to a predetermined pixel existing in each image; extracting the predetermined pixel in the feature region, when a dynamic range is greater than a predetermined value; calculating a gravity-center correlation value that shows the correlation between the gravity center of the feature region and the gravity center of the region of the object in each image; and generating relation information which shows the relation between the gravity-center correlation value and an orientation of the object.
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64. A recording medium for storing a computer-controllable program, said computer-controllable program comprising the steps of:
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determining an orientation of an object; extracting a feature region from an image region of the object in each image which corresponds to an orientation of the object, in accordance with a luminance distribution of a plurality of pixels corresponding to a predetermined pixel existing in each image; classifying each pixel existing in the feature region, into one of a plurality of classes; generating a reference frequency distribution table which is a frequency distribution of a number of pixels, which are classified in the classifying step, in each class; calculating a gravity center of an image region consisting of pixels in each class, which pixels are classified in the classifying step; calculating a gravity center of the image region of the object; calculating a gravity-center correlation value that shows correlation between the gravity center of the feature region and the gravity center of the region of the object in each class; and calculating relation information values in accordance with the gravity-center correlation information value of each class, the reference frequency distribution table and the orientation of the object.
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65. A recording medium for storing a computer-controllable program, said computer-controllable program comprising the steps of:
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acquiring images of an orientation of an object, in association with information about an orientation of the object; extracting a feature region from the image region of the object, for the orientation data, in accordance with a luminance distribution of a plurality of pixels corresponding to a predetermined pixel; classifying each pixel existing in the feature region into one of a plurality of classes; generating a frequency distribution table of a number of pixels, which pixels are classified in the classifying step, in each class; generating a frequency-distribution correlation value that shows correlation between one distribution table called a reference histogram and at least one of the other distribution tables called objective histograms, which distribution tables are generated in the distribution generating step; and generating relation information which shows relation between the frequency distribution correlation value and the orientation information. - View Dependent Claims (66)
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Specification