Linear pattern recognizing method
First Claim
Patent Images
1. A linear pattern recognizing method comprising:
- a first step in which the memory region of an original image memory in which image data have been stored is divided into a plurality of overlapping smaller subregions, and according to the image data in said plurality of smaller subregions, projection waveforms at a plurality of different projection angles are obtained for each of said smaller subregions;
a second step of obtaining, according to said projection waveforms obtained in said first step, the line direction of a linear pattern existing in the image data of each of said smaller subregions;
a third step of determining, according to said projection waveforms obtained for said smaller subregions in said first step, whether or not a linear pattern exist in the image data of each of said smaller subregions;
a fourth step of obtaining, according to said projection waveforms obtained for said smaller subregions in said first step, the line width of a linear pattern existing in the image data of each of said smaller subregions;
a fifth step of obtaining, according to said projection waveforms obtained for said smaller subregions in said first step, the line length of a linear of a pattern existing in the image data of each of said smaller subregions;
a sixth step of obtaining, according to said projection waveforms obtained for said smaller subregions in said second through fifth steps, extracting a linear segment corresponding to a linear pattern existing in the image data of each of said smaller subregions; and
a seventh step of combining said linear segments in said smaller subregions which have been extracted in said sixth step, to extract said linear pattern included in said image data.
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Abstract
Disclosed is a linear pattern recognizing method of recognizing a linear pattern included in the image data stored in an original image memory. The memory region of the original image memory is divided into a plurality of smaller regions, and the image data of the smaller regions are utilized to obtain projection waveforms at a plurality of projection angles for each smaller region. The projection waveforms thus obtained are analyzed to detect the presence or absence, line direction (θ), smaller region. According to the results of detection, a linear segment corresponding to the linear pattern is extracted for each smaller region.
21 Citations
24 Claims
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1. A linear pattern recognizing method comprising:
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a first step in which the memory region of an original image memory in which image data have been stored is divided into a plurality of overlapping smaller subregions, and according to the image data in said plurality of smaller subregions, projection waveforms at a plurality of different projection angles are obtained for each of said smaller subregions; a second step of obtaining, according to said projection waveforms obtained in said first step, the line direction of a linear pattern existing in the image data of each of said smaller subregions; a third step of determining, according to said projection waveforms obtained for said smaller subregions in said first step, whether or not a linear pattern exist in the image data of each of said smaller subregions; a fourth step of obtaining, according to said projection waveforms obtained for said smaller subregions in said first step, the line width of a linear pattern existing in the image data of each of said smaller subregions; a fifth step of obtaining, according to said projection waveforms obtained for said smaller subregions in said first step, the line length of a linear of a pattern existing in the image data of each of said smaller subregions; a sixth step of obtaining, according to said projection waveforms obtained for said smaller subregions in said second through fifth steps, extracting a linear segment corresponding to a linear pattern existing in the image data of each of said smaller subregions; and a seventh step of combining said linear segments in said smaller subregions which have been extracted in said sixth step, to extract said linear pattern included in said image data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A linear pattern recognizing method comprising:
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a first step in which the memory region of an original image memory in which image data have been stored is divided into a plurality of smaller regions, and according to the image data in said plurality of regions, projection waveforms at a plurality of different projection angles and standard deviations for said projection waveforms are obtained for each of said smaller regions; a second step of obtaining, according to said standard deviations of said projection waveforms obtained in said first step, the line direction of a linear pattern existing in the image data of each of said smaller regions; a third step of determining, according to said standard deviations of said projection waveforms obtained in said first step, whether or not a linear pattern exists in the image data of each of said smaller regions; a fourth step of obtaining, according to said projection waveforms obtained for said smaller regions in said first step, the line width of a linear pattern existing in the image data of each of said smaller regions; a fifth step of obtaining, according to said projection waveforms obtained for said smaller regions in said first step, the line length of a linear pattern existing in the image data of each of said smaller regions; and a sixth step of extracting, according to the results of operations in said second through fifth steps, extracting a linear segment corresponding to a linear pattern existing in the image data of each of said smaller regions. - View Dependent Claims (16, 17, 18, 19, 20)
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21. A linear pattern recognizing method comprising:
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a first step in which the memory region of an original image memory in which image data have been stored is divided into a plurality of smaller regions, and according to the image data in said plurality of regions, projection waveforms at a plurality of different projection angles are obtained for each of said smaller regions; a second step of obtaining, according to said projection waveforms obtained in said first step, the line direction of a linear pattern existing in the image data of each of said smaller regions; a third step of determining, according to said projection waveforms obtained for said smaller regions in said first step, whether or not a linear pattern exist in the image data of each of said smaller regions; a fourth step of obtaining, according to said projection waveforms obtained for said smaller regions in said first step, the line width of a linear pattern existing in the image data of each of said smaller regions; a fifth step of obtaining, according to said projection waveforms obtained for said smaller regions in said first step, the line length of a linear pattern existing in the image data of each of said smaller regions; a sixth step of extracting, according to the results of operations in said second through fifth steps, extracting a linear segment corresponding to a linear pattern existing in the image data of each of said smaller regions; a seventh step of determining, according to the result of operation in said third step, the positional relationship of said smaller region having a linear pattern, and determining, according to said positional relationship thus determined, an interpolation position on said original image memory for reprojection; an eighth step of obtaining projection waveforms at a plurality of different projection angles again at each interpolation position on said original image memory which is determined in said seventh step; a ninth step of operating, according to said projection waveforms obtained in said eighth step, the presence or absence, line direction, line width and line length of a linear pattern in said interpolation region; and a tenth step of extracting, according to the results of operation in said ninth step, a linear segment corresponding to a linear pattern which exists in each interpolation region, and combining said linear segment thus extracted with said line segment obtained in said sixth step.
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22. A linear pattern recognizing method comprising:
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a first step in which the memory region of an original image memory in which image data have been stored is divided into a plurality of smaller regions, and according to the image data in said plurality of regions, projection waveforms at a plurality of different projection angles are obtained for each of said smaller regions; a second step of obtaining, according to said projection waveforms obtained in said first step, the line direction of a linear pattern existing in the image data of each of said smaller regions; a third step of determining, according to said projection waveforms obtained for said smaller regions in said first step, whether or not a linear pattern exist in the image data of each of said smaller regions; a fourth step of obtaining, according to said projection waveforms obtained for said smaller regions in said first step, the line width of a linear pattern existing in the image data of each of said smaller regions; a fifth step of obtaining, according to said projection waveforms obtained for said smaller regions in said first step, the line length of a linear pattern existing in the image data of each of said smaller regions; a sixth step of extracting, according to the results of operations in said second through fifth steps, extracting a linear segment corresponding to a linear pattern existing in the image data of each of said smaller regions; a seventh step of obtaining for each smaller region the standard deviations of said projection waveforms in said line direction obtained in said second step and in a direction perpendicular to said line direction, and determining from said standard deviations whether or not a branch exists in each smaller region; an eighth step of further dividing each of the smaller regions which are determined to have branches in said seventh step into a plurality of much smaller regions, and obtaining projection waveforms at a plurality of different projection angles again for each of said much smaller regions; a ninth step of determining, according to said projection waveforms obtained for said much smaller regions in said eight step, the presence or absence, line direction, line width and line length of a linear pattern; and a tenth step of extracting, according to the results of operation in said ninth step, linear segments corresponding to branches existing in said regions. - View Dependent Claims (23, 24)
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Specification