Optical images by quadrupole convolution
First Claim
Patent Images
1. A machine recognition process for recognizing the shape, location or orientation of an object by determining the linearity in an optical image of the said object in an (x,y) Cartesian coordinate system, comprising steps of:
- capturing the said optical image in an image field defined in the said (x,y) system,generating an image signal v(x'"'"',y'"'"') for each point (x'"'"',y'"'"') in the said image field,deriving a linearity signal L(x,y) for each point (x,y) in the said image field by means of convolution expressed by the following equation;
##EQU8## where Q(x-x'"'"',y-y'"'"') is the kernel and has the value;
space="preserve" listing-type="equation">Q(x-x'"'"',y-y'"'"')=1/ ((x-x'"'"')+i(y-y'"'"')).sup.2
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Abstract
The invention described is a process of and an apparatus for recognizing the size, location, orientation etc. of an object without human intervention. The convolution technique is used to solve the field theory equations to generate linearity signals characteristic of points in the optical image of the object. The linearity signal is perception of linear or strip-like features in an image. The recognition is achieved by analyzing the linearity signals.
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18 Claims
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1. A machine recognition process for recognizing the shape, location or orientation of an object by determining the linearity in an optical image of the said object in an (x,y) Cartesian coordinate system, comprising steps of:
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capturing the said optical image in an image field defined in the said (x,y) system, generating an image signal v(x'"'"',y'"'"') for each point (x'"'"',y'"'"') in the said image field, deriving a linearity signal L(x,y) for each point (x,y) in the said image field by means of convolution expressed by the following equation;
##EQU8## where Q(x-x'"'"',y-y'"'"') is the kernel and has the value;
space="preserve" listing-type="equation">Q(x-x'"'"',y-y'"'"')=1/ ((x-x'"'"')+i(y-y'"'"')).sup.2 - View Dependent Claims (3)
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2. where i is the square root of -1,
selecting a certain set of said linearity signals for points in the said image field, and analyzing the said set of linearity signals in view of prestored reference parameters so that the optical image of the object is recognized.
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5. wherein r and θ
- are polar coordinate values.
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12. An image recognition apparatus for recognizing the shape, location or orientation of an object by determining the linearity in an optical image of the said object in an (x,y) cartesian coordinate system, comprising:
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image means for optically capturing the said optical image in an image field defined in the said (x,y) system, image signal means for generating an image signal v(x'"'"',y'"'"') for each point (x'"'"',y'"'"') in the said image field, linearity signal means for deriving a linearity signal L(x,y) for each point (x,y) in the said image field by means of convolution expressed by the following equation;
##EQU11## where Q(x-x'"'"',y-y'"'"') is the kernel and has the value;
space="preserve" listing-type="equation">Q(x-x'"'"',y-y'"'"')=1/ ((x-x'"'"')+i(y-y'"'"')).sup.2 - View Dependent Claims (16, 17, 18)
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13. where i is the square root of -1,
selection means for selecting a certain set of said linearity signals for points in the said image field, and analysis means for analyzing the said set of linearity signals in view of prestored reference parameters so that the optical image of the object is recognized.
Specification