Determining the orientation of subject data in a two-dimensional data set
First Claim
Patent Images
1. In a computerized system, a method of determining the orientation of subject data in a two-dimensional data set, comprising:
- determining a center of the subject data;
determining angles from the center to each subject data;
generating a frequency distribution based on the angles; and
determining the orientation of the subject data based on the frequency distribution.
1 Assignment
0 Petitions
Accused Products
Abstract
A method of determining the orientation of subject data in a two-dimensional data set includes: determining a center of the subject data; determining angles from the center to each subject data; generating a frequency distribution based on the angles; and determining the orientation of the subject data based on the frequency distribution.
7 Citations
44 Claims
-
1. In a computerized system, a method of determining the orientation of subject data in a two-dimensional data set, comprising:
-
determining a center of the subject data;
determining angles from the center to each subject data;
generating a frequency distribution based on the angles; and
determining the orientation of the subject data based on the frequency distribution. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
generating a mean value of the frequencies in the frequency distribution; and
determining an interval having the greatest difference in frequency from the mean value, whereby the angle associated with the interval represents the angle of orientation of the subject data in the two-dimensional data set.
-
-
4. The method of claim 3, wherein the interval includes a plurality of angles.
-
5. The method of claim 4, further comprising determining the mean value of the angles in the interval, whereby the mean value of the angles in the interval represents the angle of orientation of the subject data.
-
6. The method of claim 1, further comprising segmenting the subject data from the two-dimensional data set.
-
7. The method of claim 1, wherein the two-dimensional data set is an image data set.
-
8. The method of claim 7, wherein the subject data is object data.
-
9. The method of claim 1, wherein the subject data includes visible characteristic data, further comprising:
-
determining mean values of the visible characteristic data for each angle; and
determining the orientation of the subject data based on the visible characteristic data.
-
-
10. The method of claim 9, wherein the visible characteristic is selected from the group consisting of gray scale, color, and texture.
-
11. The method of claim 1, wherein the center is determined by finding the mean values of the subject data along each dimension.
-
12. The method of claim 1, wherein each angle is a function of the coordinates of the center minus the coordinates of the subject data.
-
13. The method of claim 12, wherein the function is the arctangent function.
-
14. The method of claim 1, further comprising calculating vectors from the center to each subject data.
-
15. In a computerized system, a method of determining the orientation of object data in an image data set, the object data including visible characteristic data, the method comprising:
-
determining a graphical center of the object data;
determining angles from the graphical center to each object data;
grouping the angles into intervals;
determining mean values of the visible characteristic data for each interval; and
determining the orientation of the object data based on the mean values of the visible characteristic data. - View Dependent Claims (16, 17, 18, 19, 20)
-
-
21. A system for determining the orientation of subject data in a two-dimensional data set, comprising:
-
means for determining a center of the subject data;
means for determining angles from the center to each subject data;
means for generating a frequency distribution based on the angles; and
means for determining the orientation of subject data based on the frequency distribution. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28)
means for generating a mean value of the frequencies in the frequency distribution; and
means for determining an interval whose frequency has the greatest difference from the mean value, whereby the angle associated with the interval represents the angle of orientation of the subject data in the two-dimensional data set.
-
-
24. The system of claim 23, further comprising means for determining the mean value of the angles in the interval, whereby the mean value of the angles in the interval represents the angle of orientation of the object data.
-
25. The system of claim 21, further comprising means for segmenting the subject data from the two-dimensional data set.
-
26. The system of claim 21, wherein the subject data includes visible characteristic data, further comprising:
-
means for determining mean values of the visible characteristic data; and
means for determining the orientation of the subject data based on the visible characteristic data.
-
-
27. The system of claim 26, wherein the visible characteristic is gray scale.
-
28. The system of claim 21, further comprising means for calculating vectors from the center to each subject data.
-
29. An apparatus for determining the orientation of an object, comprising:
-
a video camera configured to acquire an image of the object and to generate an image data set having object data;
a memory; and
a signal processing circuit coupled to the video camera and the memory, the signal processing circuit configured to store the image data set in the memory, determine angles from a center of the image data set to each object data, generate a frequency distribution of the object data based on the angles, and determine the orientation of the object based on the frequency distribution. - View Dependent Claims (30, 31, 32, 33, 34)
-
-
35. An apparatus for determining the orientation of an object, comprising:
-
a processing circuit configured to;
receive subject data of a subject of interest which subject data is collected from an image of the subject of interest;
identify a characteristic point in the image received;
determine angles from the characteristic point to a plurality of subject data points of the subject data with respect to a reference, the determined angles comprising a plurality of angular values; and
determine orientation of the subject of interest using the determined angles. - View Dependent Claims (36, 37, 38, 39, 40, 41, 42, 43, 44)
-
Specification