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Photonics: from target recognition to lesion detection
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Henry, E. Michael |
| Copyright Year | 1994 |
| Description | Since 1989, Martin Marietta has invested in the development of an innovative concept for robust real-time pattern recognition for any two-dimensioanal sensor. This concept has been tested in simulation, and in laboratory and field hardware, for a number of DOD and commercial uses from automatic target recognition to manufacturing inspection. We have now joined Rose Health Care Systems in developing its use for medical diagnostics. The concept is based on determining regions of interest by using optical Fourier bandpassing as a scene segmentation technique, enhancing those regions using wavelet filters, passing the enhanced regions to a neural network for analysis and initial pattern identification, and following this initial identification with confirmation by optical correlation. The optical scene segmentation and pattern confirmation are performed by the same optical module. The neural network is a recursive error minimization network with a small number of connections and nodes that rapidly converges to a global minimum. |
| File Size | 479176 |
| Page Count | 12 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19950018839 |
| Archival Resource Key | ark:/13960/t7xm37m7s |
| Language | English |
| Publisher Date | 1994-05-11 |
| Access Restriction | Open |
| Subject Keyword | Cybernetics Fourier Transformation Image Processing Neural Nets Radiology Wavelet Analysis Mammary Glands Bandpass Filters Diagnosis Pattern Recognition Lesions Cancer Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
