Method and apparatus for image recognition using invariant feature signals
US5497430A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Nov 7, 1994 |
| Grant date | Mar 5, 1996 |
| Priority date | — |
| Expiry date | Nov 7, 2014 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/431
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of operating an image recognition system including providing a neural network including a plurality of input neurons, a plurality of output neurons and an interconnection weight matrix; providing a display including an indicator; initializing the indicator to an initialized state; obtaining an image of a structure; digitizing the image so as to obtain a plurality of input intensity cells and define an input object space; transforming the input object space to a feature vector including a set of n scale-, position- and rotation- invariant feature signals, where n is a positive integer not greater than the plurality of input neurons, by extracting the set of n scale-, position- and rotation-invariant feature signals from the input object space according to a set of relationships I.sub.k =.intg..sub..OMEGA. .intg.I(x,y)h[k,I(x,y)]dxdy, where I.sub.k is the set of n scale-, position- and rotation-invariant feature signals, k is a series of counting numbers from 1 to n inclusive, (x,y) are the coordinates of a given cell of the plurality of input intensity cells, I(x,y) is a function of an intensity of the given cell of the plurality of input intensity cells, .OMEGA. is an area…
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